2000+ Science Quiz and Trivia and Brain Teaser

Science Quiz and Trivia

You can translate the content of this page by selecting a language in the select box.

Pass the 2023 AWS Cloud Practitioner CCP CLF-C01 Certification with flying colors Ace the 2023 AWS Solutions Architect Associate SAA-C03 Exam with Confidence Pass the 2023 AWS Certified Machine Learning Specialty MLS-C01 Exam with Flying Colors

Looking for a fun and interactive way to learn more about science? Look no further than the Science Quiz Trivia and Brain Teaser App and Game! This essential learning tool is packed with more than 2000 quiz questions on various science topics, making it the perfect way to challenge yourself or others on your knowledge of the world around us. With multiple choice answers and engaging visuals, the Science Quiz Trivia and Brain Teaser App and Game is perfect for kids and adults alike. So what are you waiting for? Test your science smarts today with the Science Quiz Trivia and Brain Teaser App and Game!

The Science Quiz Trivia and Brain Teaser App and Game is ideal for anyone who loves science! With more than 2000 questions on general science topics, this app is perfect for kids and adults alike. Challenge yourself with the Ultimate Science Quiz, or test your knowledge with the General Science Quiz Game. With multiple choice answers and a host of different categories, there’s something for everyone in this comprehensive quiz game. Learn about biology, geology, physics, chemistry, zoology, computer science, and space with the World Science Quiz. The multilingual capabilities of this game make it accessible to even more people around the globe. With so much to offer, the Science Quiz Trivia and Brain Teaser App and Game is a must-have for any trivia lover!

2000+ Science Quiz Trivia and Brain Teaser

Web: https://awscloudpractitionerexamprep.com/quizandbrainteaser/

iOs: https://apps.apple.com/ca/app/all-subjects-quiz-brain-teaser/id1603487636

Android: https://play.google.com/store/apps/details?id=com.quizandbrainteaserfree.app

Windows/Microsoft: https://www.microsoft.com/store/apps/9PML05P5X85B

Amazon Web: https://www.amazon.com/gp/product/B09RCW3F5J

Amazon Android: https://www.amazon.com/gp/product/B09RCQKHYG

#Science #Quiz #Trivia #generalScience


Think you know everything there is to know about science? Prove it with this Science Quiz Trivia and Brain Teaser App and Game! With more than 2000 different questions, this app is sure to test your knowledge. And with multiple choice answers, it’s easier than ever to get the correct answer. Whether you’re a science nerd or just trying to learn more about the world around you, this is the perfect app for you. So what are you waiting for? Download now and start quizzing!

Web: https://awscloudpractitionerexamprep.com/quizandbrainteaser/

iOs: https://apps.apple.com/ca/app/all-subjects-quiz-brain-teaser/id1603487636

Android: https://play.google.com/store/apps/details?id=com.quizandbrainteaserfree.app

Windows/Microsoft: https://www.microsoft.com/store/apps/9PML05P5X85B

Amazon Web: https://www.amazon.com/gp/product/B09RCW3F5J

Amazon Android: https://www.amazon.com/gp/product/B09RCQKHYG

Think you know everything there is to know about science? Prove it with this Science Quiz Trivia and Brain Teaser App and Game! With more than 2000 different questions, this app is sure to test your knowledge. And with multiple choice answers, it’s easier than ever to get the correct answer. Whether you’re a science nerd or just trying to learn more about the world around you, this is the perfect app for you. So what are you waiting for? Download now and start quizzing!

Pass the 2023 AWS Cloud Practitioner CCP CLF-C01 Certification with flying colors Ace the 2023 AWS Solutions Architect Associate SAA-C03 Exam with Confidence Pass the 2023 AWS Certified Machine Learning Specialty MLS-C01 Exam with Flying Colors

US History Quiz Trivia and Brain Teaser App and Game

2000+ US History Quiz Trivia

You can translate the content of this page by selecting a language in the select box.

Pass the 2023 AWS Cloud Practitioner CCP CLF-C01 Certification with flying colors Ace the 2023 AWS Solutions Architect Associate SAA-C03 Exam with Confidence Pass the 2023 AWS Certified Machine Learning Specialty MLS-C01 Exam with Flying Colors

US History Quiz Trivia and Brain Teaser App and Game is an amazing way to test your knowledge of American history. With more than 2000 quiz questions, it’s perfect for anyone who wants to learn more about the United States. The questions cover everything from the Founding Fathers to present day, so you can brush up on your history anytime, anywhere. With the US History Quiz Trivia and Brain Teaser App and Game, you can impress your friends and family with your vast knowledge of all things America!

Web: https://awscloudpractitionerexamprep.com/quizandbrainteaser/

iOs: https://apps.apple.com/ca/app/all-subjects-quiz-brain-teaser/id1603487636

Android: https://play.google.com/store/apps/details?id=com.quizandbrainteaserfree.app

Windows/Microsoft: https://www.microsoft.com/store/apps/9PML05P5X85B

Amazon #ushistory #unitedstates #history #quiz

https://vimeo.com/737192093

Are you looking for a fun and engaging way to learn about US history? Look no further than the US History Quiz Trivia and Brain Teaser App and Game! This app is packed with more than 2000 trivia questions about the United States, from its inception to present day. Test your knowledge and see how much you really know about this great country! The US History Quiz Trivia and Brain Teaser App and Game is perfect for anyone who wants to learn more about US history, or simply brush up on their knowledge. So what are you waiting for? Download the app today and start learning!

Web: https://awscloudpractitionerexamprep.com/quizandbrainteaser/

iOs: https://apps.apple.com/ca/app/all-subjects-quiz-brain-teaser/id1603487636

Android: https://play.google.com/store/apps/details?id=com.quizandbrainteaserfree.app

Windows/Microsoft: https://www.microsoft.com/store/apps/9PML05P5X85B

Amazon #ushistory #unitedstates #history #quiz

Features:

  • 2000+ US History Quiz
  • Updated regularly
  • Hint for Answers
  • Illustrated
  • Score tracker
  • Timer

Are you looking for a fun and engaging way to learn about US history? Look no further than the US History Quiz Trivia and Brain Teaser App and Game! This app is packed with more than 2000 trivia questions about the United States, from its inception to present day. Test your knowledge and see how much you really know about this great country! The US History Quiz Trivia and Brain Teaser App and Game is perfect for anyone who wants to learn more about US history, or simply brush up on their knowledge. So what are you waiting for? Download the app today and start learning!

USA History Quiz Trivia and Brain Teaser by Djamgatech

US History Quiz and Trivia

Web: https://awscloudpractitionerexamprep.com/quizandbrainteaser/

iOs: https://apps.apple.com/ca/app/all-subjects-quiz-brain-teaser/id1603487636

Android: https://play.google.com/store/apps/details?id=com.quizandbrainteaserfree.app

Windows/Microsoft: https://www.microsoft.com/store/apps/9PML05P5X85B

Amazon #ushistory #unitedstates #history #quiz

Geography Quiz Trivia Brain Teaser App and Game – Multilingual

World Geography Quiz Trivia

You can translate the content of this page by selecting a language in the select box.

Pass the 2023 AWS Cloud Practitioner CCP CLF-C01 Certification with flying colors Ace the 2023 AWS Solutions Architect Associate SAA-C03 Exam with Confidence Pass the 2023 AWS Certified Machine Learning Specialty MLS-C01 Exam with Flying Colors

Think you know your geography? Put your knowledge to the test with this fun and challenging trivia app! With over 1,000 questions on everything from world flags to major landmarks, you’ll never run out of things to learn. And with four difficulty levels, there’s something for everyone. So whether you’re a geography whiz or just looking to brush up on your knowledge, this is the perfect app for you. So download now and start exploring the world!

All Subjects Quiz Trivia Brain Teaser – Geography

Web: https://awscloudpractitionerexamprep.com/quizandbrainteaser/

iOs: https://apps.apple.com/ca/app/all-subjects-quiz-brain-teaser/id1603487636

Android: https://play.google.com/store/apps/details?id=com.quizandbrainteaserfree.app

Windows/Microsoft: https://www.microsoft.com/store/apps/9PML05P5X85B

Amazon Web: https://www.amazon.com/gp/product/B09RCW3F5J

Amazon Android: https://www.amazon.com/gp/product/B09RCQKHYG

Web: https://awscloudpractitionerexamprep.com/quizandbrainteaser/

We provide an enjoyable and educational experience for people of all ages with our fun and interactive quizzes.

Our app offers a variety of different quizzes on world geography, including quizzes on flags, maps, and countries. We also have quizzes specifically for kids and adults, so everyone can learn something new.

With our Geography Quiz Trivia Brain Teaser App, you’ll be able to test your knowledge on everything from the world map to the different countries in Europe. So whether you’re a geography enthusiast or just looking to learn something new, our app is perfect for you!

Mathematics Quiz Trivia Brain Teaser Game – General Math and SAT Math Quiz for All

All Subjects Quiz Trivia Brain Teaser - Math

You can translate the content of this page by selecting a language in the select box.

Pass the 2023 AWS Cloud Practitioner CCP CLF-C01 Certification with flying colors Ace the 2023 AWS Solutions Architect Associate SAA-C03 Exam with Confidence Pass the 2023 AWS Certified Machine Learning Specialty MLS-C01 Exam with Flying Colors

In this post, we will be featuring a general math quiz and SAT math quiz that is perfect for all ages and levels of learners. Whether you’re a student preparing for your next test, a kid who wants to brush up on your basic math skills, or just someone who loves playing trivia games, we think you’ll find this quiz fun and challenging. So put on your thinking cap and get ready to solve some math problems! And don’t forget to share your score in the comments section below!.

Looking for a fun and challenging math game? Look no further than this Math Quiz Trivia and Brain Teaser App! This app is perfect for anyone who wants to brush up on their math skills or just have some fun with challenging math puzzles. With games covering addition, subtraction, multiplication, and division, there is something for everyone. And with the ability to track your progress and compete against friends, you’ll always have something to strive for. So why not give Math Quiz Trivia and Brain Teaser App a try today?

General Math practice game for brain training!

Web: https://awscloudpractitionerexamprep.com/quizandbrainteaser/

iOs: https://apps.apple.com/ca/app/all-subjects-quiz-brain-teaser/id1603487636

Android: https://play.google.com/store/apps/details?id=com.quizandbrainteaserfree.app

Windows/Microsoft: https://www.microsoft.com/store/apps/9PML05P5X85B Amazon

Web: https://www.amazon.com/gp/product/B09RCW3F5J

Amazon Android: https://www.amazon.com/gp/product/B09RCQKHYG

Free and educational math quiz suitable for all ages of people! Online trainer for an active brain. Improve problem solving skills by playing! Free Math Games for everyone from kids to adults. Maths practice game to train your brain & is designed for all ages including kids, girls and boys, adults including parents and grandparents. Kid’s math is the smallest in size maths App on Google Play!

Easiest multiplication and division games with Addition and Subtraction games all in one app. Increase your brain power with an excellent educational game for learning mathematics for kids and adults of all ages. Math games for 1st grade, 2nd grade, 3rd grade, 4th grade, 5th grade, or 6th grade and of course, any teenager or adult who is interested in training their brain and improving their math skills!

Math Games, Learn Add, Subtract, Multiply & Divide. The Math Trivia Quiz Game is a Fun Math Trivia Game containing Brainy Math Puzzles & Quizzes which helps you to learn basic problems, equations, sequences, series, etc.

All Subjects Quiz Trivia Brain Teaser Math will help you develop abstract and logical thinking, develop perseverance, sharpen the intellect, ability to analyze, raise IQ, and memory. This Math Trivia Consists of multiple levels from simple to complex. With each level, it gets more complicated and more interesting.

HOW TO PLAY:

– Tap the RIGHT answer button from the 4 multiple choices;

– Select the correct answer before the time expires.

– There are 20 quizzes for each level,

– Try a HINT to help you remove a wrong

Features:

– Easy and quick to play. Multilingual.

– Unique math quizzes & puzzles

– Answer over 1000 math trivia questions!

– Completely free & designed for all ages

– Improve memory, focus, and mental speed

– Free trivia game to test your IQ and math knowledge!

FREE DOWNLOAD today and refresh your mind with the math melody!

Web: https://awscloudpractitionerexamprep.com/quizandbrainteaser/

iOs: https://apps.apple.com/ca/app/all-subjects-quiz-brain-teaser/id1603487636

Android: https://play.google.com/store/apps/details?id=com.quizandbrainteaserfree.app Windows/Microsoft: https://www.microsoft.com/store/apps/9PML05P5X85B

Amazon Web: https://www.amazon.com/gp/product/B09RCW3F5J

Amazon Android: https://www.amazon.com/gp/product/B09RCQKHYG

Math Quiz Trivia Brain Teaser

Math Quiz Trivia and Brain Teaser App is an educational game that helps you learn basic math skills while testing your knowledge with fun trivia questions. The app includes addition, subtraction, multiplication, and division games, as well as a variety of general math and SAT math questions. With this app, you can sharpen your math skills while also developing your abstract and logical thinking. So download now and see how high you can score on the Math Quiz Trivia and Brain Teaser App!

Web: https://awscloudpractitionerexamprep.com/quizandbrainteaser/

iOs: https://apps.apple.com/ca/app/all-subjects-quiz-brain-teaser/id1603487636

Android: https://play.google.com/store/apps/details?id=com.quizandbrainteaserfree.app

Windows/Microsoft: https://www.microsoft.com/store/apps/9PML05P5X85B

Amazon Web: https://www.amazon.com/gp/product/B09RCW3F5J

Amazon Android: https://www.amazon.com/gp/product/B09RCQKHYG

If you’re looking for a math app that’s both educational and fun, look no further than Math Quiz Trivia and Brain Teaser! This app features multiplication and division games, as well as addition and subtraction games, all in one handy app. With Math Quiz, you’ll learn basic problems, equations, sequences, and series while sharpening your abstract and logical thinking skills. And because it’s a quiz game, you’ll stay engaged and entertained while you improve your math IQ. So download now and start mastering math with Math Quiz Trivia and Brain Teaser!

Soccer Football World Cup Champion’s League Soccer Football Quiz and Trivia App

Soccer Football World Cup Champion's League Trivia and Quiz

You can translate the content of this page by selecting a language in the select box.

Pass the 2023 AWS Cloud Practitioner CCP CLF-C01 Certification with flying colors Ace the 2023 AWS Solutions Architect Associate SAA-C03 Exam with Confidence Pass the 2023 AWS Certified Machine Learning Specialty MLS-C01 Exam with Flying Colors

Are you a big soccer fan? Do you know everything there is to know about the beautiful game? Put your knowledge to the test with our Soccer Football Quiz Trivia app!

With over 1,000 questions on everything from the latest soccer news to the history of the sport, we’ll keep you entertained for hours. And if you’re ever stuck, you can always use our handy hint system to give yourself a little nudge in the right direction.

Our Soccer Football Quiz Trivia app is also great for keeping up with the latest news from around the world of soccer. We’ve got all the latest breaking stories, tweets, and results, so you’ll never miss a beat.

Soccer Football Quiz Triviahttps://awscloudpractitionerexamprep.com/quizandbrainteaser/

It’s time to test your knowledge about the world’s most popular sport – football (or soccer, depending on where you’re from)! The Football Soccer World Cup Champions League Quiz Trivia and Breaking News App is the ultimate way to stay up-to-date on everything related to the beautiful game. From latest news and tweets, to quizzes and trivia, this app has it all. And if that’s not enough, you can also Guess the Soccer Player, Guess the Footballer, and even Guess the Soccer Team! So what are you waiting for? Download now and start showing off your football knowledge to all your friends!

Download The App Below:

iOs: https://apps.apple.com/ca/app/all-subjects-quiz-brain-teaser/id1603487636

Android: https://play.google.com/store/apps/details?id=com.quizandbrainteaserfree.app

Web: https://inrealtimenow.com/soccer_football/ or here

Windows/Microsoft: https://www.microsoft.com/store/apps/9PML05P5X85B

Amazon Web: https://www.amazon.com/gp/product/B09RCW3F5J

Amazon Android: https://www.amazon.com/gp/product/B09RCQKHYG

App Preview:

Soccer Football World Cup Champion’s League Quiz and Trivia App

App Features:

Soccer Quiz TriviaFootball Quiz and Trivia,

Guess the Soccer Player Quiz

Guess the Footballer Trivia and Quiz

World Football Quiz 2022

Guess the Soccer Team Quiz

Guess the Football Manager Trivia

Football Teams Logo Quiz

Soccer Teams Anthems Trivia

World Cup trivia

Champions League Quiz

Premier League Quiz

La Liga quiz

Calcio trivia

Bundesliga Trivia

Pro Football Quiz

Pro Soccer Trivia

Guess the Football Legend Quiz

Guess the football manager quiz

Guess the soccer coach trivia

Soccer clubs logo quiz

Ligue 1 Quiz

MLS soccer quiz

Football transfer quiz

Soccer Top goals scorers quiz

Copa America quiz

Afcon Quiz

UEFA cup quiz

Asian soccer cup quiz

Manchester United Quiz

Liverpool FC trivia

Real Madrid FC quiz

Barcelona FC quiz

Selecao quiz

Ballon d’or quiz

Lionel Messi Quiz

Cristiano Ronal Quiz

Kylian Mbappe Quiz

Machine Learning For Dummies

Machine Learning For Dummies

You can translate the content of this page by selecting a language in the select box.

Pass the 2023 AWS Cloud Practitioner CCP CLF-C01 Certification with flying colors Ace the 2023 AWS Solutions Architect Associate SAA-C03 Exam with Confidence Pass the 2023 AWS Certified Machine Learning Specialty MLS-C01 Exam with Flying Colors

The Machine Learning For Dummies App is the perfect way to learn about Machine Learning, AI and how to Elevate your Brain. With over 400+ Machine Learning Operations, Basic and Advanced ML questions and answers, the latest ML news, and a daily Quiz, the App is perfect for anyone who wants to learn more about this exciting field.

With operations on AWS, Azure, and GCP, the App is perfect for beginners and experts alike. And with its updated daily content, you’ll always be up-to-date on the latest in Machine Learning. So whether you’re a beginner or an expert, the Machine Learning For Dummies App is the perfect way to learn more about this fascinating field. Use this App to learn about Machine Learning and Elevate your Brain with Machine Learning Quiz, Cheat Sheets, Questions and Answers updated daily.

ML PRO without ADS on iOs [No Ads, More Features]

ML For Dummies on iOs [Contain Ads]

ML PRO without ADS on Windows [No Ads, More Features]

ML PRO For Web/Android

The App provides:

– 400+ Machine Learning Operation on AWS, Azure, GCP and Detailed Answers and References

– 100+ Machine Learning Basics Questions and Answers

– 100+ Machine Learning Advanced Questions and Answers – Scorecard

– Countdown timer – Machine Learning Cheat Sheets

– Machine Learning Interview Questions and Answers

– Machine Learning Latest News and Tweets

Machine Learning Quiz For Dummies
Machine Learning Quiz For Dummies

The App covers: Azure AI Fundamentals AI-900 Exam Prep: Azure AI 900, ML, Natural Language Processing, Modeling, Data Engineering, Computer Vision, Exploratory Data Analysis, ML implementation and Operations, S3, SageMaker, Kinesis, Lake Formation, Athena, Kibana, Redshift, Textract, EMR, Glue, GCP PROFESSIONAL Machine Learning Engineer, Framing ML problems, Architecting ML solutions, Designing data preparation and processing systems, Developing ML models, Monitoring, optimizing, and maintaining ML solutions, Automating and orchestrating ML pipelines, Quiz and Brain Teaser for AWS Machine Learning MLS-C01, Cloud Build, Kubeflow, TensorFlow, CSV, JSON, IMG, parquet or databases, Hadoop/Spark, Vertex AI Prediction, Describe Artificial Intelligence workloads and considerations, Describe fundamental principles of machine learning on Azure, Describe features of computer vision workloads on Azure, Describe features of Natural Language Processing (NLP) workloads on Azure , Describe features of conversational AI workloads on Azure, QnA Maker service, Language Understanding service (LUIS), Speech service, Translator Text service, Form Recognizer service, Face service, Custom Vision service, Computer Vision service, facial detection, facial recognition, and facial analysis solutions, optical character recognition solutions, object detection solutions, image classification solutions, azure Machine Learning designer, automated ML UI, conversational AI workloads, anomaly detection workloads, forecasting workloads identify features of anomaly detection work, NLP, Kafka, SQl, NoSQL, Python, DocumentDB, linear regression, logistic regression, Sampling, dataset, statistical interaction, selection bias, non-Gaussian distribution, bias-variance trade-off, Normal Distribution, correlation and covariance, Point Estimates and Confidence Interval, A/B Testing, p-value, statistical power of sensitivity, over-fitting and under-fitting, regularization, Law of Large Numbers, Confounding Variables, Survivorship Bias, univariate, bivariate and multivariate, Resampling, ROC curve, TF/IDF vectorization, Cluster Sampling, etc.

Important: To succeed with the real exam, do not memorize the answers in this app. It is very important that you understand why a question is right or wrong and the concepts behind it by carefully reading the reference documents in the answers.

Note and disclaimer: We are not affiliated with Microsoft or Azure or Google or Amazon. The questions are put together based on the certification study guide and materials available online. The questions in this app should help you pass the exam but it is not guaranteed. We are not responsible for any exam you did not pass.

Download the Machine Learning For Dummies App below:

ML For Dummies on iOs [Contain Ads]

ML PRO without ADS on iOs [No Ads, More Features]

ML PRO without ADS on Windows [No Ads, More Features]

ML PRO For Web/Android

Azure AI Fundamentals AI-900 Exam Preparation

Azure AI Fundamentals AI-900 Exam Prep PRO

You can translate the content of this page by selecting a language in the select box.

Pass the 2023 AWS Cloud Practitioner CCP CLF-C01 Certification with flying colors Ace the 2023 AWS Solutions Architect Associate SAA-C03 Exam with Confidence Pass the 2023 AWS Certified Machine Learning Specialty MLS-C01 Exam with Flying Colors

Azure AI 900 is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.

Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.

This Azure AI Fundamentals AI-900 Exam Preparation App provides Basics and Advanced Machine Learning Quizzes and Practice Exams on Azure, Azure Machine Learning Job Interviews Questions and Answers, Machine Learning Cheat Sheets.

Download Azure AI 900 on iOs

Download Azure AI 900 on Windows10/11

Azure AI Fundamentals Exam Prep

Azure AI Fundamentals AI-900 Exam Preparation App Features:

– Azure AI-900 Questions and Detailed Answers and References

– Machine Learning Basics Questions and Answers

– Machine Learning Advanced Questions and Answers

– NLP and Computer Vision Questions and Answers

– Scorecard

– Countdown timer

– Machine Learning Cheat Sheets

– Machine Learning Interview Questions and Answers

– Machine Learning Latest News

Azure AI 900 – Machine Learning

This Azure AI Fundamentals AI-900 Exam Prep App covers:

  • ML implementation and Operations,
  • Describe Artificial Intelligence workloads and considerations,
  • Describe fundamental principles of machine learning on Azure,
  • Describe features of computer vision workloads on Azure,
  • Describe features of Natural Language Processing (NLP) workloads on Azure ,
  • Describe features of conversational AI workloads on Azure,
  • QnA Maker service, Language Understanding service (LUIS), Speech service, Translator Text service, Form Recognizer service, Face service, Custom Vision service, Computer Vision service, facial detection, facial recognition, and facial analysis solutions, optical character recognition solutions, object detection solutions, image classification solutions, azure Machine Learning designer, automated ML UI, conversational AI workloads, anomaly detection workloads, forecasting workloads identify features of anomaly detection work, Kafka, SQl, NoSQL, Python, linear regression, logistic regression, Sampling, dataset, statistical interaction, selection bias, non-Gaussian distribution, bias-variance trade-off, Normal Distribution, correlation and covariance, Point Estimates and Confidence Interval, A/B Testing, p-value, statistical power of sensitivity, over-fitting and under-fitting, regularization, Law of Large Numbers, Confounding Variables, Survivorship Bias, univariate, bivariate and multivariate, Resampling, ROC curve, TF/IDF vectorization, Cluster Sampling, etc.
  • This App can help you:
  • – Identify features of common AI workloads
  • – identify prediction/forecasting workloads
  • – identify features of anomaly detection workloads
  • – identify computer vision workloads
  • – identify natural language processing or knowledge mining workloads
  • – identify conversational AI workloads
  • – Identify guiding principles for responsible AI
  • – describe considerations for fairness in an AI solution
  • – describe considerations for reliability and safety in an AI solution
  • – describe considerations for privacy and security in an AI solution
  • – describe considerations for inclusiveness in an AI solution
  • – describe considerations for transparency in an AI solution
  • – describe considerations for accountability in an AI solution
  • – Identify common types of computer vision solution:
  • – Identify Azure tools and services for computer vision tasks
  • – identify features and uses for key phrase extraction
  • – identify features and uses for entity recognition
  • – identify features and uses for sentiment analysis
  • – identify features and uses for language modeling
  • – identify features and uses for speech recognition and synthesis
  • – identify features and uses for translation
  • – identify capabilities of the Text Analytics service
  • – identify capabilities of the Language Understanding service (LUIS)
  • – etc.

Download Azure AI 900 on iOs

Download Azure AI 900 on Windows10/11

Azure AI Fundamentals Breaking News – Azure AI Fundamentals Certifications Testimonials

  • Private endpoint by default
    by /u/Jose083 (Microsoft Azure) on February 8, 2023 at 1:33 pm

    I’m wondering if everyone private endpoints their resources by default when deploying? Im currently going down that path of putting everything private unless explicitly has to be opened up. Curious if others have the same thought process? submitted by /u/Jose083 [link] [comments]

  • Azure AD Cross-Tenant Synchronization Walkthrough
    by /u/JohnSavill (Microsoft Azure) on February 8, 2023 at 1:11 pm

    New video exploring the Azure AD cross-tenant synchronization which will be really useful for organizations with multiple Azure AD tenants. https://youtu.be/z0J5kteqUVQ submitted by /u/JohnSavill [link] [comments]

  • Are the labs in ms GitHub enough for Azure 104? If not, please share some other resources where Incan practice labs for az104.
    by /u/theIngloriousAlien (Microsoft Azure Certifications) on February 8, 2023 at 12:09 pm

    Thanks in advance. submitted by /u/theIngloriousAlien [link] [comments]

  • Is there any Azure Data Studio users here? Is there any SQL prompt that works with it?
    by /u/Lekowski (Microsoft Azure) on February 8, 2023 at 11:54 am

    Is there any Azure Data Studio users here? Is there any SQL prompt that works with it? The case now is that I am missing the SQL prompt, which suggest you all the table columns as you write the queries. Is there any extension that can add this on Azure Data Studio? submitted by /u/Lekowski [link] [comments]

  • Some VM sizes are advertised as supporting Nested Virtualisation but since the actual CPU model choice is almost random I end up on CPU's that does not support Nested Virtualisation. How can I fix this?
    by /u/0OOO00000OO00O0O0OOO (Microsoft Azure) on February 8, 2023 at 10:14 am

    I created a VM some time ago with a VM size that supported nested virtualisation. Now when I try to create a new VM with the same VM size it does not support nested virtualisation. I can see that the actual CPU is different on them. i have tried multiple times and with different VM sizes but I always endup with the same kind of CPU. I have tried with these: Standard_D4_v4 Standard_D4s_v3 Standard_D2s_v3 multiple times. Is there any way to get this predictable https://imgur.com/a/aqO9yQ4 <-- I got different CPU for different VM size. Nested Virt support on the right but not the left side submitted by /u/0OOO00000OO00O0O0OOO [link] [comments]

  • Azure Durable Functions Now Supports Storage Backends Microsoft Netherite and MSSQL
    by /u/SteefJan1970 (Microsoft Azure) on February 8, 2023 at 10:11 am

    Microsoft recently announced that Azure Durable Functions support for the new storage providers, Netherite and Microsoft SQL Server (MSSQL), is generally available. With Azure Durable Functions, developers can write long-running, reliable, event-driven, and stateful logic on the serverless Azure Functions platform. In addition, these functions can have several storage providers, also called "backends," for storing orchestration and entity runtime states. By default, new projects are configured to use the Azure Storage provider; however, a developer can choose another backend, including the now generally available Netherite and MSSQL. For more details see InfoQ News Item: https://www.infoq.com/news/2023/02/durable-functions-netherite-ga/ submitted by /u/SteefJan1970 [link] [comments]

  • [AZURE PROJECTS] Azure Cognitive Services - Speech Recognition
    by /u/CloudDevDanUK (Microsoft Azure) on February 8, 2023 at 8:46 am

    submitted by /u/CloudDevDanUK [link] [comments]

  • How to create an Azure DevOps organization | Azure DevOps tutorial for beginners
    by /u/balramprasad (Microsoft Azure) on February 8, 2023 at 7:47 am

    submitted by /u/balramprasad [link] [comments]

  • Azure Migrate replication failed
    by /u/keymochi (Microsoft Azure) on February 8, 2023 at 5:47 am

    Hi all. I'm trying to migrate VMs from Vsphere to Azure. Every prerequisite is satisfied from appliance side and there is no issue during VMs discovery. During replication process, the job hit an error saying "The task failed as the Servee Migration service is unable to process requests". When I checked the details it says something about intermittent issue please try again some time later. I have verified this is not connection issue between my Vsphere and Azure. Although as of the time writing this, Southeast Asia region has ongoing issue with one of their datacenter cooling not sure if this has anything to do with it. Any ideas? Thanks. submitted by /u/keymochi [link] [comments]

  • Azure Windows Server Hybrid Administrator
    by /u/JacobTriesTech (Microsoft Azure Certifications) on February 8, 2023 at 5:30 am

    Hi all, I wanted to find out people's opinions on this exam, it seems very good but I can't find nearly as much learning material and youtube content around it. Is it a good exam, has anyone taken it? What is the difficulty level compared to AZ-104? I am going to give it a go, any tips for this would be greatly appreciated! submitted by /u/JacobTriesTech [link] [comments]

  • no talk of southeast Asia?
    by /u/rotarychainsaw (Microsoft Azure) on February 8, 2023 at 5:15 am

    I wish our developers used availability zones... submitted by /u/rotarychainsaw [link] [comments]

  • Windows update for business formerly Windows compliance workbooks
    by /u/Ambitious-Abroad-363 (Microsoft Azure) on February 8, 2023 at 12:56 am

    Hi All, I have published the Windows updates for business workbook 4 days ago and enabled the telemetry in GPO. No data showed up yet or anything, I also noticed my GPO settings are missing some important ones like diagnostics data. Question is did anyone successfully deploy the workbook and using telemetry in GPO? What are the settings I need to enabled in order to get it to work. Thanks submitted by /u/Ambitious-Abroad-363 [link] [comments]

  • Studying Azure
    by /u/RobertoRoboto (Microsoft Azure) on February 8, 2023 at 12:38 am

    For the purposes of studying azure / filling out skill set / getting something similar to work experience, what's a good list of tasks I can run through myself in my own Azure environment to help me learn? Mostly interested in Iaas and infrastructure at the moment. e.g. - create a VM via GUI / Powershell - create a VPN Gateway - create an Availability set etc. etc. Any suggestions would be greatly appreciated! submitted by /u/RobertoRoboto [link] [comments]

  • Can you host traditional ADDS in a VM on Azure instead of using Azure ADDS?
    by /u/Confident_Top_9681 (Microsoft Azure) on February 8, 2023 at 12:17 am

    Hello, Looks at getting some advice. I've been comparing Azure ADDS to Traditional ADDS. Microsoft says Azure ADDS says it supports Kerberos and NTLM authentication however they also say that it doesn't? Does it only support Kerb and NTLM when its syncing to an on-prem AD solution and if that's the case is it only extending it? I've been wondering if it's possible to instead of opting for Azure ADDS, but to install a ADDS VM Server on azure, then use an AD connector to sync accross. This will give us full authentication whilst keeping it fully cloud. Has anyone else done this before? submitted by /u/Confident_Top_9681 [link] [comments]

  • Trying to understand how public IP addresses work when Azure is assigning your IP
    by /u/ArdenLyn (Microsoft Azure) on February 7, 2023 at 10:14 pm

    So bare with me a bit on this one, please as some of this is still new to me as I didn't set any of this up. Our app is 100% in Azure and is purely through app service containers; we do not have any IaaS VMs at all. We don't have any public dedicated IP addresses or vNets or NAT gateways, but our app is accessible via the internet. Our DNS is hosted in azure, but all of our zones are filled with cnames that point to other Azure resources, which I am assuming is Azure dynamically assigning IPs on the backend. What I am confused though is how these IP's work as I can't really seem to find the right lever or screen that explains how these IPs are allocated and changed, or whether the shared IPs are dedicated in any way to our resources only, or if they are multi-tenant and the same IPs are being served out to other customers. Is anyone who is more familiar with how this works able to school me a bit, or point me to the right place in Azure where I might find configuration settings for this, or point me to a document that explains this piece? Because apparently, I can't use search engines well today and am missing the right information to get me going down the right path. If anyone has any questions or anything let me know, and I can try and better explain. Thanks for any help in better understanding how these app services are actually getting out to the internet and how the Azure assigned IPs for these things work! Edit: I got some helpful and not so helpful responses below. I also figured out what I needed to focus on was static web apps and not so much app services. The static web apps look to function like a CDN so needing to know how the IP is allocated doesn't look to matter to much anymore for my needs since there are multiple distribution points for my static content. Thanks those that did try to help! submitted by /u/ArdenLyn [link] [comments]

  • Can't find corresponding audit event for Microsoft Substrate Management logs in Azure AD
    by /u/Meisner57 (Microsoft Azure) on February 7, 2023 at 9:18 pm

    title might be a bit confusing. Found several log entries in the Azure AD audit log where actor is "Microsoft Substrate Management". I know that is a 1st party Microsoft application used for write backs to AD in duel write scenarios from Exchange online. I have read up on Microsofts articles etc and they all just say these logs are informational and require no action. That is great and all but I cannot find anywhere a corresponding log of what was done in Exchange that triggered log to appear in Azure AD. These entries all have the activity listed as "Update User". There is some concern as around the time of these logs there are several hundred failed login attempts for a global admin account from all around the world and the target of the update user logs is listed as that same global admin account. Can anyone help point me to how I can find what update was done in exchange? I have done several searches in the compliance/defender audit logs and in Exchange admin centre. submitted by /u/Meisner57 [link] [comments]

  • How small/granular should Azure Functions be?
    by /u/jkiley (Microsoft Azure) on February 7, 2023 at 9:06 pm

    I'm trying to figure out how small to make things to deploy as Azure functions. I'm building a system that pulls together data from a few sources and puts it into a DB (for later analytical use). Serverless seems perfect for this, as most sources can be handled once a day, and a read-and-insert job will generally take about a minute a day. For example, a typical data source will look something like this: Spin up on a timer. Check the database for state on data that has been inserted. Check the source for what data is available. Compare to isolate the URLs of available but not ingested data. Process the URLs (get, preprocess, insert to DB). End until triggered the next day. At least at this point, I can't see cases where these parts would get used elsewhere if split into separate APIs (unless they were generalized such that, for example, the state checking handled every source). Does that point toward keeping this as one function that handles all of these steps? submitted by /u/jkiley [link] [comments]

  • Measure Up or CBT Nuggets
    by /u/Rubicon2020 (Microsoft Azure Certifications) on February 7, 2023 at 8:24 pm

    I've not purchased any study related stuff from Measure Up except practice exams for AZ-900 which I didn't take the exam cuz I never found the time to study...ok it was boring and I couldn't sit down and study. I'm looking to learn AZ-104, then CCNA, then back to AZ-800/801 hopefully within the rest of this year. These are certs I find interesting which will help the study part. AZ-900 was just boring af and I was only taking it because a friend said I should start there, when I'd already started on AZ-104 he said I should do AZ-900 before even though it's not a prereq it just makes it easier. Well, I read the Sybex Wiley book, I read all the stuff on learn.microsoft and failed every practice exam I tried; 4 of them. I finally had no more interest in getting it. But I'm very much interested in AZ-104, 800, 801 and CCNA. Who has used Measure UP and who has used CBT Nuggets and preferably who has used both and which did you feel better prepared you? I'm not exactly good at learning by watching videos as I have ADHD and well squirrel way too often. But the book I have is a year old and I'll supplement the book with videos to hopefully help me out. Also, any tips and tricks to studying. Thanks! submitted by /u/Rubicon2020 [link] [comments]

  • AZ-900 now?
    by /u/Status-Fishing5455 (Microsoft Azure Certifications) on February 7, 2023 at 8:22 pm

    Is anyone preparing for A-900 submitted by /u/Status-Fishing5455 [link] [comments]

  • Language Cognitive Service for emails
    by /u/Sklifosovsky20 (Microsoft Azure) on February 7, 2023 at 8:10 pm

    We are using Language Cognitive Services for language detection, sentiment analysis, summarization, key phrases, entities detection, translation and PII detection. Right now, we send in chat or raw text into these APIs. We then highlight the important parts, like below: ​ https://preview.redd.it/v2801yyfptga1.png?width=1215&format=png&auto=webp&s=5535b9f72c9c0a50ec30825e72a1fda379e69337 I want to do the same analysis on emails, which obviously contain a lot of html tags, words can be broken up between tags, URLs, CSS and other stuff. There are headers and threads/replies. We can do our own pre-processing to remove HTML tags and try to break up the email threads, but I was hoping there is something pre-built in Azure that is tuned for email. Or maybe someone knows of a good library/GitHub project that tackles text analytics for email. submitted by /u/Sklifosovsky20 [link] [comments]

Download Azure AI 900 on iOs

Download Azure AI 900 on Windows10/11

AWS Machine Learning Certification Specialty Exam Prep

AWS Machine Learning Specialty Certification Prep (Android)

You can translate the content of this page by selecting a language in the select box.

Pass the 2023 AWS Cloud Practitioner CCP CLF-C01 Certification with flying colors Ace the 2023 AWS Solutions Architect Associate SAA-C03 Exam with Confidence Pass the 2023 AWS Certified Machine Learning Specialty MLS-C01 Exam with Flying Colors

The AWS Certified Machine Learning Specialty validates expertise in building, training, tuning, and deploying machine learning (ML) models on AWS.

Use this App to learn about Machine Learning on AWS and prepare for the AWS Machine Learning Specialty Certification MLS-C01.

Download AWS machine Learning Specialty Exam Prep App on iOs

Download AWS Machine Learning Specialty Exam Prep App on Android/Web/Amazon

AWS MLS-C01 Machine Learning Specialty Exam Prep PRO

[appbox appstore 1611045854-iphone screenshots]

[appbox microsoftstore  9n8rl80hvm4t-mobile screenshots]

AWS machine learning certification prep
AWS machine learning certification prep

Download AWS machine Learning Specialty Exam Prep App on iOs

Download AWS Machine Learning Specialty Exam Prep App on Android/Web/Amazon

The App provides hundreds of quizzes and practice exam about:

– Machine Learning Operation on AWS

– Modelling

– Data Engineering

– Computer Vision,

– Exploratory Data Analysis,

– ML implementation & Operations

– Machine Learning Basics Questions and Answers

– Machine Learning Advanced Questions and Answers

– Scorecard

– Countdown timer

– Machine Learning Cheat Sheets

– Machine Learning Interview Questions and Answers

– Machine Learning Latest News

The App covers Machine Learning Basics and Advanced topics including: NLP, Computer Vision, Python, linear regression, logistic regression, Sampling, dataset, statistical interaction, selection bias, non-Gaussian distribution, bias-variance trade-off, Normal Distribution, correlation and covariance, Point Estimates and Confidence Interval, A/B Testing, p-value, statistical power of sensitivity, over-fitting and under-fitting, regularization, Law of Large Numbers, Confounding Variables, Survivorship Bias, univariate, bivariate and multivariate, Resampling, ROC curve, TF/IDF vectorization, Cluster Sampling, etc.

Domain 1: Data Engineering

Create data repositories for machine learning.

Identify data sources (e.g., content and location, primary sources such as user data)

Determine storage mediums (e.g., DB, Data Lake, S3, EFS, EBS)

Identify and implement a data ingestion solution.

Data job styles/types (batch load, streaming)

Data ingestion pipelines (Batch-based ML workloads and streaming-based ML workloads), etc.

Domain 2: Exploratory Data Analysis

Sanitize and prepare data for modeling.

Perform feature engineering.

Analyze and visualize data for machine learning.

Domain 3: Modeling

Frame business problems as machine learning problems.

Select the appropriate model(s) for a given machine learning problem.

Train machine learning models.

Perform hyperparameter optimization.

Evaluate machine learning models.

Domain 4: Machine Learning Implementation and Operations

Build machine learning solutions for performance, availability, scalability, resiliency, and fault

tolerance.

Recommend and implement the appropriate machine learning services and features for a given

problem.

Apply basic AWS security practices to machine learning solutions.

Deploy and operationalize machine learning solutions.

Machine Learning Services covered:

Amazon Comprehend

AWS Deep Learning AMIs (DLAMI)

AWS DeepLens

Amazon Forecast

Amazon Fraud Detector

Amazon Lex

Amazon Polly

Amazon Rekognition

Amazon SageMaker

Amazon Textract

Amazon Transcribe

Amazon Translate

Other Services and topics covered are:

Ingestion/Collection

Processing/ETL

Data analysis/visualization

Model training

Model deployment/inference

Operational

AWS ML application services

Language relevant to ML (for example, Python, Java, Scala, R, SQL)

Notebooks and integrated development environments (IDEs),

S3, SageMaker, Kinesis, Lake Formation, Athena, Kibana, Redshift, Textract, EMR, Glue, SageMaker, CSV, JSON, IMG, parquet or databases, Amazon Athena

Amazon EC2, Amazon Elastic Container Registry (Amazon ECR), Amazon Elastic Container Service, Amazon Elastic Kubernetes Service , Amazon Redshift

Important: To succeed with the real exam, do not memorize the answers in this app. It is very important that you understand why a question is right or wrong and the concepts behind it by carefully reading the reference documents in the answers.

Note and disclaimer: We are not affiliated with Microsoft or Azure or Google or Amazon. The questions are put together based on the certification study guide and materials available online. The questions in this app should help you pass the exam but it is not guaranteed. We are not responsible for any exam you did not pass.

Download AWS machine Learning Specialty Exam Prep App on iOs

Download AWS Machine Learning Specialty Exam Prep App on Android/Web/Amazon

  • [Discussion] Cognitive science inspired AI research
    by /u/theanswerisnt42 (Machine Learning) on February 8, 2023 at 11:02 am

    I came across a few comments on this community about researchers developing AI algorithms inspired by ideas from neuroscience/cognition. I'd like to know how successful this approach has been in terms of coming up with new perspectives on problems. What are some of the key issues researchers are trying to address this way? What are some future directions in which research may progress? I have a rough idea that this could be one way to inspire sample efficient RL but I'd love to hear about other work that goes on in this area submitted by /u/theanswerisnt42 [link] [comments]

  • [D] List of RL Papers
    by /u/C_l3b (Machine Learning) on February 8, 2023 at 8:36 am

    Hi, I want to open a thread about RL (non-deep and deep) What are the papers/books that are "must read" to have strong foundation? submitted by /u/C_l3b [link] [comments]

  • [D] What do you think about this 16 week curriculum for existing software engineers who want to pursue AI and ML?
    by /u/Imaginary-General687 (Machine Learning) on February 8, 2023 at 7:12 am

    ​ https://preview.redd.it/3szt07d50xga1.png?width=936&format=png&auto=webp&s=6838bf1464049f58c2be4e5fe50544b21f0cc699 submitted by /u/Imaginary-General687 [link] [comments]

  • [P] Scripts/Programs to collect Baseline Logs
    by /u/Dweeberbob (Machine Learning) on February 8, 2023 at 3:58 am

    Abit of a weird question. So I'm required to make & collect some clean (baseline) logs and dirty (malicious) logs for some mini-ML project I'm doing. So my question is, is there any scripts or programs out there, Linux or Windows, that allows the automation of mimicking an office staff doing work (ie. opening Outlook, sending emails, surfing the web, watching YouTube, opening and editing Word/Excel files, etc.) for the purpose of collecting baseline logs? I'm relative new to this kind of thing, if you guys have better suggestion on a more better/efficient way to do this, feel free to suggest! submitted by /u/Dweeberbob [link] [comments]

  • [N] New Book on Synthetic Data​: Version 3.0 Just Released
    by /u/MLRecipes (Machine Learning) on February 8, 2023 at 1:27 am

    The book has considerably grown since version 1.0. It started with synthetic data as one of the main components, but also diving into explainable AI, intuitive / interpretable machine learning, and generative AI. Now with 272 pages (up from 156 in the first version), the focus is clearly on synthetic data. Of course, I still discuss explainable and generative AI: these concepts are strongly related to data synthetization. Agent-based modeling in action However many new chapters have been added, covering various aspects of synthetic data — in particular working with more diversified real datasets, how to synthetize them, how to generate high quality random numbers with a very fast algorithm based on digits of irrational numbers, with visual illustrations and Python code in all chapters. In addition to agent-based modeling newly added, you will find material about GAN — generative adversarial networks applied using methods other than neural networks. GMM — Gaussian mixture models and alternatives based on multivariate stochastic and lattice processes. The Hellinger distance and other metrics to measure the quality of your synthetic data, and the limitations of these metrics. The use of copulas with detailed explanations on how it works, Python code, and application to mimicking a real dataset. Drawbacks associated with synthetic data, in particular a tendency to replicate algorithm bias that synthetization is supposed to eliminate (and how to avoid this). A technique somewhat similar to ensemble methods / tree boosting but specific to data synthetization, to further enhance the value of synthetic data when blended with real data; the goal is to make predictions more robust and applicable to a wider range of observations truly different from those in your original training set. Synthetizing nearest neighbor and collision graphs, locally random permutations, shapes, and an introduction to AI-art Newly added applications include dealing with numerous data types and datasets, including ocean times in Dublin (synthetic time series), temperatures in the Chicago area (geospatial data) and the insurance data set (tabular data). I also included some material from the course that I teach on the subject. For the time being, the book is available only in PDF format on my e-Store here, with numerous links, backlinks, index, glossary, large bibliography and navigation features to make it easy to browse. This book is a compact yet comprehensive resource on the topic, the first of its kind. The quality of the formatting and color illustrations is unusually high. I plan on adding new books in the future: the next one will be on chaotic dynamical systems with applications. However, the book on synthetic data has been accepted by a major publisher and a print version will be available. But it may take a while before it gets released, and the PDF version has useful features that can not be rendered well in print nor on devices such as Kindle. Once published in the computer science series with the publisher in question, the PDF version may no longer be available. You can check out the content on my GitHub repository, here where the Python code, sample chapters, and datasets also reside. submitted by /u/MLRecipes [link] [comments]

  • [P] AI/ML Engineering Tutor
    by /u/ThoseWhoAbandonViews (Machine Learning) on February 7, 2023 at 11:58 pm

    I am looking for a AI/Machine Learning Engineering tutor. I am specifically interested in help developing and building ~2 Medium/large NLP projects, using SOTA LLM’s (GPT3, etc.). After these, I would potentially be interested in diving into RL. I am looking for a little bit of theory when needed, but predominantly hands-on coding project help (eg. real-time coding help if I get stuck). Reach out if you are interested! (Of course $ negotiated). submitted by /u/ThoseWhoAbandonViews [link] [comments]

  • [Discussion] Can an AMD Ryzen 5 3400G computer with 16GB of RAM effectively train an AI model?
    by /u/erikaonline (Machine Learning) on February 7, 2023 at 10:42 pm

    I'm exploring the possibility of using my AMD Ryzen 5 3400G computer with 16GB of RAM to train an AI model. I'm curious to know if this setup is adequate for the task and, if so, what kind of AI models would be appropriate. I'm interested in understanding any limitations and drawbacks that I may face with this setup. If you have any relevant experience or information, I would greatly appreciate your participation in this discussion. Thanks! <3 submitted by /u/erikaonline [link] [comments]

  • [D] Image object detection, but for 1 dimensional data?
    by /u/Optoplasm (Machine Learning) on February 7, 2023 at 10:36 pm

    I have had a lot of fun and success using YOLO and other image object detection models on 2D or 3D image data for personal projects. I am now working on some projects where I need to scan long periods of timeseries data and find specific waveforms that are variable durations. Are there techniques or models that function like YOLO that can scan large amounts of data and only highlight specific segments of interest as specific classes? If it doesn’t exist, I wonder how well the underlying CNN architecture of YOLO would translate to 1 dimensional CNN architectures. Any info is appreciated, thanks! submitted by /u/Optoplasm [link] [comments]

  • [P] Best way to add a sampling step within a neural network end-to-end?
    by /u/geomtry (Machine Learning) on February 7, 2023 at 10:32 pm

    I'm looking to combine two separate models together end-to-end, but need help understanding the best way to connect discrete parts. The first part: I trained a classifier that given an input vector (512 dimensional) is able to predict one of twenty possible labels. The second part: given an input label (from the previous classifier), embed the label and use that label to make a prediction. Both models work decently, but I'm wondering if I can make this end-to-end and get some serious gains. To do this, I'd need a way of sampling from the first softmax. Once I have a sample, I can get the embedding of the sampled class, continue as normal, and hopefully propagate the loss through everything. Are there any similar examples I can look at? Is there a term for this in the literature? submitted by /u/geomtry [link] [comments]

  • Share medical image research on Amazon SageMaker Studio Lab for free
    by Stephen Aylward (AWS Machine Learning Blog) on February 7, 2023 at 9:04 pm

    This post is co-written with Stephen Aylward, Matt McCormick, Brianna Major from Kitware and Justin Kirby from the Frederick National Laboratory for Cancer Research (FNLCR). Amazon SageMaker Studio Lab provides no-cost access to a machine learning (ML) development environment to everyone with an email address. Like the fully featured Amazon SageMaker Studio, Studio Lab allows

  • [D] Can output time frame cover input time frame in machine learning?
    by /u/dencan06 (Machine Learning) on February 7, 2023 at 8:06 pm

    I recently had a disagreement with a friend and would like to hear other opinions. Say for a website, using the user actions for first week period, we want to predict total sales within 3 weeks. But one of the inputs is sales in the first week, so the output -total sales of 3 weeks- is including the sales in the first week. Is it ok to choose this output? Or should we adjust it in a way to prevent it from overlapping with the input time period and choose for ex. sales within 2 weeks after the first week for output What is the reasoning? submitted by /u/dencan06 [link] [comments]

  • [N] Microsoft announces new "next-generation" LLM, will be integrated with Bing and Edge
    by /u/currentscurrents (Machine Learning) on February 7, 2023 at 6:38 pm

    https://www.theverge.com/2023/2/7/23587454/microsoft-bing-edge-chatgpt-ai submitted by /u/currentscurrents [link] [comments]

  • [D] Multi-class classifications when a few of the classes are not mutually-exclusive
    by /u/hopedallas (Machine Learning) on February 7, 2023 at 5:38 pm

    I am dealing with a multi-class classification problem. I know one of the main assumption of this problem is that the classes are mutually exclusive. However, I realized that in my problem, some of these classes may happen together. So my problem is not an entirely a milt-class nor a multi-label. One solution is to relax the exclusivity assumption and fit a model, however, I am not sure how realistic is that. I was wondering if there is a better way to approach this problem? Briefly, the problem is in ads domain where a user can do task A or B after seeing an ad or can do both A&B at the same time. submitted by /u/hopedallas [link] [comments]

  • Amazon SageMaker Automatic Model Tuning now supports three new completion criteria for hyperparameter optimization
    by Doug Mbaya (AWS Machine Learning Blog) on February 7, 2023 at 5:21 pm

    Amazon SageMaker has announced the support of three new completion criteria for Amazon SageMaker automatic model tuning, providing you with an additional set of levers to control the stopping criteria of the tuning job when finding the best hyperparameter configuration for your model. In this post, we discuss these new completion criteria, when to use them, and

  • [D] Which is the fastest and lightweight ultra realistic TTS for real-time voice cloning?
    by /u/akshaysri0001 (Machine Learning) on February 7, 2023 at 5:15 pm

    Hey everyone, I want to make a personal voice assistant who sounds exactly like a real person. I tried some TTS like tortoise TTS and coqui TTS, it done a good job but it takes too long time to perform. So is there any other good realistic sounding TTS which I can use with my own voice cloning training dataset? Also I'm a bit amazed by the TTS used by eleven labs, so can someone explain how can I achieve that level of real-time efficiency in a voice assistant? submitted by /u/akshaysri0001 [link] [comments]

  • [D] Artificial Intelligence for Manufacturing
    by /u/Much-Bit3531 (Machine Learning) on February 7, 2023 at 4:53 pm

    Manufacturing 4.0 is undergoing a revolution with the integration of Artificial Intelligence (AI). AI is poised to revolutionize the process industry, where controlling input variables leads to an output. The current process industry, including pharmaceuticals, chemicals, and energy production, relies on human operators to turn knobs to achieve optimal output. However, this system is limited by several factors, including slow training, poor retention of large data sets, inaccurate sensors, and complex decision-making processes. ​ https://preview.redd.it/y6stc52zqsga1.png?width=734&format=png&auto=webp&s=c8f24ff9d7f7975380e6cd2fbb5021fce67c0e86 Here are some details about problems and AI solutions: 1) It takes forever to train this employee. This employee is running little mini experiments and getting coached by other employees and engineers along the way. So the quality of training per year is variable. AI eliminates this problem by retaining the results of the mini experience in its models. Now everyone has access to how the process behaves. 2) The numbers of KPIs can be huge and not all KPIs are linear. Humans are notoriously bad at retaining large data sets with multiple variables. Humans delete, distort and generalize data so we can come up with easier to follow rules of thumb. Machine are not limited by this. In AI, the more data the more way combined the better. The models can evolve as new data comes in. 3) The automatic sensors are many times are precise but not accurate. This can happen because the sensors get off calibration or the calibration is dependent on other variables in the process. Operators usually use manual measurements that are very accurate but not precise to know where the process actually is. This manual measurement can be used the calibrate the sensors but, it seen as a losing battle. AI can use that data to continuously update the calibration of the sensors and add calibrations for other input variables such as Ph, flow rate, or temperature. When this is done the you can trust the sensors. 4) Many process decisions require if then statements. These if then statements change by the product that is being run making it extremely complicated. AI systems can automatically update the if then statements by how previous runs behave. They can learn from expert operators to learn new conditions. These learning and be presented to the operator as a suggesting on how the run the process. For well defined processes, the process will benefit from making the changes faster. These faster changes will improve the overall cost of manufacturing. In conclusion, AI is set to revolutionize the process industry by addressing its limitations and providing faster, more accurate, and cost-effective solutions. By harnessing the power of AI, the process industry is poised for a bright future. submitted by /u/Much-Bit3531 [link] [comments]

  • [N] Getty Images Claims Stable Diffusion Has Stolen 12 Million Copyrighted Images, Demands $150,000 For Each Image
    by /u/vadhavaniyafaijan (Machine Learning) on February 7, 2023 at 4:43 pm

    From Article: Getty Images new lawsuit claims that Stability AI, the company behind Stable Diffusion's AI image generator, stole 12 million Getty images with their captions, metadata, and copyrights "without permission" to "train its Stable Diffusion algorithm." The company has asked the court to order Stability AI to remove violating images from its website and pay $150,000 for each. However, it would be difficult to prove all the violations. Getty submitted over 7,000 images, metadata, and copyright registration, used by Stable Diffusion. submitted by /u/vadhavaniyafaijan [link] [comments]

  • [D] question on first time training a model
    by /u/cobalt1137 (Machine Learning) on February 7, 2023 at 4:41 pm

    Basically I saw a stream the other day where someone used data from a person's YouTube channel and somehow used this data to create an AI version of them and interviewed them. It was fascinating and pretty accurate How difficult would this be to do myself? I don't even know where to start. Does anyone have any pointers? Is this a very large task that I'm underestimating or is it actually feasible? Here is the stream in question. The video and audio would be cool to have but I mean that's not necessary, even just having the text aspect would be pretty wild on its own. https://youtu.be/hjoYy5IVtfo (skip to any point, most of it is filled with the bot responding) submitted by /u/cobalt1137 [link] [comments]

  • Model/paper ideas: reinforcement learning with a deterministic environment [D]
    by /u/EmbarrassedFuel (Machine Learning) on February 7, 2023 at 4:02 pm

    I have a problem I need to solve that, as far as I can tell, doesn't fit very well into most of the existing RL literature. Essentially the task is to create on optimal plan over a time horizon extending a flexible number of steps into the future. The action space is both discrete and continuous - there are multiple available distinct actions, some of which need to be given continuous (but constrained) parameters. In this problem however, the state of the environment is known ahead of time for all the future time steps, and the updated state of the agent after each action can be calculated deterministically given the action and the environment state. Modelling the entire problem as a MILP is not feasible due to the size of the action and state space, and we have a very large data set for agent and environment state to play with. Does anyone have any suggestions for papers or models that might be appropriate for this scenario? submitted by /u/EmbarrassedFuel [link] [comments]

  • [N] Beyond Transformers with PyNeuraLogic
    by /u/Lukas_Zahradnik (Machine Learning) on February 7, 2023 at 3:36 pm

    Going beyond Transformers? 🤖 In this article, I'm discussing how we can use the power of hybrid architecture, i.e., marrying deep learning with symbolic artificial intelligence, for implementing different kinds of Transformers. Including the one used in GPT-3! https://towardsdatascience.com/beyond-transformers-with-pyneuralogic-10b70cdc5e45 ​ ​ The attention computation graph visualized submitted by /u/Lukas_Zahradnik [link] [comments]

  • [Discussion] Best practices for taking deep learning models to bare metal MCUs
    by /u/ramv0001 (Machine Learning) on February 7, 2023 at 10:51 am

    I would like to know what are some of the best practice is to convert pytorch to embedded C (bare metal micro-controllers) during A. initial phase and B. for deployment. A. Initial phase is to understand the profiling of the model performance (RAM usage and processing time) for a targetted hardware. I understand that Tensorflow lite might be the best route for initial profiling but there are restrictions. It will be great if you could tell the framework that you follow. Currently framework: 1. Pytorch -> 2. ONNX -> 3. Keras -> 4. Tensorflowlite or 5. Tensorflowlite micro B. Deployment is to run inference for production in a targetted hardware. I think hand coding in C is the best way. Please ignore optimisation techniques in the workflow for simplicity. submitted by /u/ramv0001 [link] [comments]

  • [D] Papers that inject embeddings into LMs
    by /u/_Arsenie_Boca_ (Machine Learning) on February 7, 2023 at 8:16 am

    I am looking for papers that inject information into LMs directly using embeddings (without formatting information as text). I find it notoriously hard to search for these paper because they could come from various different domains, so I thought asking here might be a good option to reach people from many different domains. Some examples I already found are from the domain of knowledge graph augmented LMs: ERNIE https://arxiv.org/abs/1904.09223 K-BERT https://arxiv.org/abs/1909.07606 Prefix Tuning / Prompt Tuning are also somewhat similar to the idea, but they dont depend on any external information. Can you think of other papers that inject additional information into LMs via embeddings? submitted by /u/_Arsenie_Boca_ [link] [comments]

  • [P] Pythae 0.1.0 is out and supports distributed training for 25 Variational Autoencoders
    by /u/cchad-8 (Machine Learning) on February 7, 2023 at 6:53 am

    📢 News 📢 Pythae 0.1.0 is now out and supports distributed training using PyTorch DDP ! Train your favorite Variational Autoencoders (VAEs) faster 🏎️ and on larger datasets, still with a few lines of code 🖥️. 👉github: https://github.com/clementchadebec/benchmark_VAE 👉pypi: https://pypi.org/project/pythae/ https://preview.redd.it/jk4ukkgarpga1.png?width=1335&format=png&auto=webp&s=07c1ab2eaad104879637ad04472935d87baa31e9 submitted by /u/cchad-8 [link] [comments]

  • [P] ChatGPT without size limits: upload any pdf and apply any prompt to it
    by /u/aicharades (Machine Learning) on February 7, 2023 at 12:46 am

    hi all! I created a simple free tool where you can summarize and query documents of any size and estimate the cost to do so: https://www.wrotescan.com You can edit the prompts as well as automatically chunk and combine documents. There's also a cost estimator for any pdf you upload. Let me know if you want me to run some examples for you! Send me a pdf and tell me what you'd like summarized or extracted. Tips Please be sure to keep {text} in both prompts or the program will not input your document's text into the map reduce summarizer. {text} can only appear once in each prompt. It is where the text from each chunk to be summarized is input into the prompts. Create a temporary OpenAI key / org to use with this site so you do not have to provide credit card information then be sure to delete the temp key when you are done. Learnings Some interesting learnings I had while creating the tool: - Minimizing the number of steps through the AI improved summarization, so map reduce was often better than a more advanced refine workflow which passes the output through the model many more times. - LangChain is great for managing multiple step language model calls and bypassing the current limitations of ChatGPT submitted by /u/aicharades [link] [comments]

  • [Project] I used a new ML algo called "AnimeSR" to restore the Cowboy Bebop movie and up rez it to full 4K. Here's a link to the end result - honestly think it looks amazing! (Video and Model link in post)
    by /u/VR_Angel (Machine Learning) on February 6, 2023 at 9:39 pm

    It took me about 46 hours to run this on my 3080 at home. The original files was from the Blu-ray release that was unfortunately pretty poorly done in my opinion. This version really gives it new life I think. Here's a link to the video result to see for yourself: https://vimeo.com/796411232 And a link to the model I used! https://github.com/TencentARC/AnimeSR submitted by /u/VR_Angel [link] [comments]

  • Create powerful self-service experiences with Amazon Lex on Talkdesk CX Cloud contact center
    by Grazia Russo Lassner (AWS Machine Learning Blog) on February 6, 2023 at 9:01 pm

    This blog post is co-written with Bruno Mateus, Jonathan Diedrich and Crispim Tribuna at Talkdesk. Contact centers are using artificial intelligence (AI) and natural language processing (NLP) technologies to build a personalized customer experience and deliver effective self-service support through conversational bots. This is the first of a two-part series dedicated to the integration of

  • [N] Google: An Important Next Step On Our AI Journey
    by /u/EducationalCicada (Machine Learning) on February 6, 2023 at 8:12 pm

    https://blog.google/technology/ai/bard-google-ai-search-updates/ submitted by /u/EducationalCicada [link] [comments]

  • [N] Getty Images sues AI art generator Stable Diffusion in the US for copyright infringement
    by /u/Wiskkey (Machine Learning) on February 6, 2023 at 7:53 pm

    From the article: Getty Images has filed a lawsuit in the US against Stability AI, creators of open-source AI art generator Stable Diffusion, escalating its legal battle against the firm. The stock photography company is accusing Stability AI of “brazen infringement of Getty Images’ intellectual property on a staggering scale.” It claims that Stability AI copied more than 12 million images from its database “without permission ... or compensation ... as part of its efforts to build a competing business,” and that the startup has infringed on both the company’s copyright and trademark protections. This is different from the UK-based news from weeks ago. submitted by /u/Wiskkey [link] [comments]

  • Image classification model selection using Amazon SageMaker JumpStart
    by Kyle Ulrich (AWS Machine Learning Blog) on February 6, 2023 at 6:29 pm

    Researchers continue to develop new model architectures for common machine learning (ML) tasks. One such task is image classification, where images are accepted as input and the model attempts to classify the image as a whole with object label outputs. With many models available today that perform this image classification task, an ML practitioner may

  • Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS
    by Tesfagabir Meharizghi (AWS Machine Learning Blog) on February 2, 2023 at 9:48 pm

    Today, the NFL is continuing their journey to increase the number of statistics provided by the Next Gen Stats Platform to all 32 teams and fans alike. With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their

  • Analyze and visualize multi-camera events using Amazon SageMaker Studio Lab
    by Kevin Song (AWS Machine Learning Blog) on February 2, 2023 at 9:42 pm

    The National Football League (NFL) is one of the most popular sports leagues in the United States and is the most valuable sports league in the world. The NFL, BioCore, and AWS are committed to advancing human understanding around the diagnosis, prevention, and treatment of sports-related injuries to make the game of football safer. More

  • How to decide between Amazon Rekognition image and video API for video moderation
    by Lana Zhang (AWS Machine Learning Blog) on February 1, 2023 at 8:40 pm

    Almost 80% of today’s web content is user-generated, creating a deluge of content that organizations struggle to analyze with human-only processes. The availability of consumer information helps them make decisions, from buying a new pair of jeans to securing home loans. In a recent survey, 79% of consumers stated they rely on user videos, comments,

  • Scaling distributed training with AWS Trainium and Amazon EKS
    by Scott Perry (AWS Machine Learning Blog) on February 1, 2023 at 5:52 pm

    Recent developments in deep learning have led to increasingly large models such as GPT-3, BLOOM, and OPT, some of which are already in excess of 100 billion parameters. Although larger models tend to be more powerful, training such models requires significant computational resources. Even with the use of advanced distributed training libraries like FSDP and

  • Amazon SageMaker built-in LightGBM now offers distributed training using Dask
    by Xin Huang (AWS Machine Learning Blog) on January 30, 2023 at 6:10 pm

    Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of input data, including tabular,

  • Build a water consumption forecasting solution for a water utility agency using Amazon Forecast
    by Dhiraj Thakur (AWS Machine Learning Blog) on January 30, 2023 at 5:59 pm

    Amazon Forecast is a fully managed service that uses machine learning (ML) to generate highly accurate forecasts, without requiring any prior ML experience. Forecast is applicable in a wide variety of use cases, including estimating supply and demand for inventory management, travel demand forecasting, workforce planning, and computing cloud infrastructure usage. You can use Forecast

  • [D] Simple Questions Thread
    by /u/AutoModerator (Machine Learning) on January 29, 2023 at 4:00 pm

    Please post your questions here instead of creating a new thread. Encourage others who create new posts for questions to post here instead! Thread will stay alive until next one so keep posting after the date in the title. Thanks to everyone for answering questions in the previous thread! submitted by /u/AutoModerator [link] [comments]

  • Best Egg achieved three times faster ML model training with Amazon SageMaker Automatic Model Tuning
    by Tristan Miller (AWS Machine Learning Blog) on January 26, 2023 at 5:45 pm

    This post is co-authored by Tristan Miller from Best Egg. Best Egg is a leading financial confidence platform that provides lending products and resources focused on helping people feel more confident as they manage their everyday finances. Since March 2014, Best Egg has delivered $22 billion in consumer personal loans with strong credit performance, welcomed

  • Build a loyalty points anomaly detector using Amazon Lookout for Metrics
    by Dhiraj Thakur (AWS Machine Learning Blog) on January 25, 2023 at 4:19 pm

    Today, gaining customer loyalty cannot be a one-off thing. A brand needs a focused and integrated plan to retain its best customers—put simply, it needs a customer loyalty program. Earn and burn programs are one of the main paradigms. A typical earn and burn program rewards customers after a certain number of visits or spend.

  • Explain text classification model predictions using Amazon SageMaker Clarify
    by Pinak Panigrahi (AWS Machine Learning Blog) on January 25, 2023 at 4:13 pm

    Model explainability refers to the process of relating the prediction of a machine learning (ML) model to the input feature values of an instance in humanly understandable terms. This field is often referred to as explainable artificial intelligence (XAI). Amazon SageMaker Clarify is a feature of Amazon SageMaker that enables data scientists and ML engineers

  • Upscale images with Stable Diffusion in Amazon SageMaker JumpStart
    by Vivek Madan (AWS Machine Learning Blog) on January 25, 2023 at 4:09 pm

    In November 2022, we announced that AWS customers can generate images from text with Stable Diffusion models in Amazon SageMaker JumpStart. Today, we announce a new feature that lets you upscale images (resize images without losing quality) with Stable Diffusion models in JumpStart. An image that is low resolution, blurry, and pixelated can be converted

  • Cohere brings language AI to Amazon SageMaker
    by Sudip Roy (AWS Machine Learning Blog) on January 25, 2023 at 1:32 pm

    It’s an exciting day for the development community. Cohere’s state-of-the-art language AI is now available through Amazon SageMaker. This makes it easier for developers to deploy Cohere’s pre-trained generation language model to Amazon SageMaker, an end-to-end machine learning (ML) service. Developers, data scientists, and business analysts use Amazon SageMaker to build, train, and deploy ML models quickly and easily using its fully managed infrastructure, tools, and workflows.

  • ­­How CCC Intelligent Solutions created a custom approach for hosting complex AI models using Amazon SageMaker
    by Christopher Diaz (AWS Machine Learning Blog) on January 20, 2023 at 6:28 pm

    This post is co-written by Christopher Diaz, Sam Kinard, Jaime Hidalgo and Daniel Suarez  from CCC Intelligent Solutions. In this post, we discuss how CCC Intelligent Solutions (CCC) combined Amazon SageMaker with other AWS services to create a custom solution capable of hosting the types of complex artificial intelligence (AI) models envisioned. CCC is a

  • Set up Amazon SageMaker Studio with Jupyter Lab 3 using the AWS CDK
    by Cory Hairston (AWS Machine Learning Blog) on January 17, 2023 at 8:36 pm

    Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) partly based on JupyterLab 3. Studio provides a web-based interface to interactively perform ML development tasks required to prepare data and build, train, and deploy ML models. In Studio, you can load data, adjust ML models, move in between steps to adjust experiments,

  • Churn prediction using multimodality of text and tabular features with Amazon SageMaker Jumpstart
    by Xin Huang (AWS Machine Learning Blog) on January 17, 2023 at 6:49 pm

    Amazon SageMaker JumpStart is the Machine Learning (ML) hub of SageMaker providing pre-trained, publicly available models for a wide range of problem types to help you get started with machine learning. Understanding customer behavior is top of mind for every business today. Gaining insights into why and how customers buy can help grow revenue. Customer churn is

  • Leveraging artificial intelligence and machine learning at Parsons with AWS DeepRacer
    by Jenn Bergstrom (AWS Machine Learning Blog) on January 13, 2023 at 11:46 pm

    This post is co-written with Jennifer Bergstrom, Sr. Technical Director, ParsonsX. Parsons Corporation (NYSE:PSN) is a leading disruptive technology company in critical infrastructure, national defense, space, intelligence, and security markets providing solutions across the globe to help make the world safer, healthier, and more connected. Parsons provides services and capabilities across cybersecurity, missile defense, space ground

  • How Thomson Reuters built an AI platform using Amazon SageMaker to accelerate delivery of ML projects
    by Ramdev Wudali (AWS Machine Learning Blog) on January 13, 2023 at 5:26 pm

    This post is co-written by Ramdev Wudali and Kiran Mantripragada from Thomson Reuters. In 1992, Thomson Reuters (TR) released its first AI legal research service, WIN (Westlaw Is Natural), an innovation at the time, as most search engines only supported Boolean terms and connectors. Since then, TR has achieved many more milestones as its AI

Download AWS machine Learning Specialty Exam Prep App on iOs

AWS machine learning certification prep
AWS machine learning certification prep

Download AWS Machine Learning Specialty Exam Prep App on Android/Web/Amazon

Download AWS machine Learning Specialty Exam Prep App on iOs

Download AWS Machine Learning Specialty Exam Prep App on Android/Web/Amazon

QNN – Read Breaking News and Trivia to Me

QNN - Read Breaking News and Trivia to Me

You can translate the content of this page by selecting a language in the select box.

Pass the 2023 AWS Cloud Practitioner CCP CLF-C01 Certification with flying colors Ace the 2023 AWS Solutions Architect Associate SAA-C03 Exam with Confidence Pass the 2023 AWS Certified Machine Learning Specialty MLS-C01 Exam with Flying Colors

QNN is an open source breaking news and trivia app that allows you to get breaking news and elevate your brain with trivia in real time.

QNN Aggregates the best news feed around the globe and present it to you cleanly without the clutter.

QNN also enables to test your knowledge by providing thousand of quiz about local and global geography, history and general knowledge.

QNN is accessible on the web at https://inRealTimeNow.com and you can install it on your device as a normal app.

QNN Features:

  • Breaking News updated daily
  • Trivia updated weekly
  • Read Breaking News To Me
  • Multilingual
  • Quiz and Trivia about every country’s history, geography, politics, government
  • Canadian Citizenship Quiz
  • Australia Citizenship Quiz
  • Quiz and Trivia with score card and countdown timer
  • Anti Fake News
  • Clean and Tidy Breaking News without the clutter

QNN provides local and global breaking news for various countries and cities in the world including:

QNN - Read Breaking News and Trivia to Me
QNN – Read Breaking News and Trivia to Me

QNN – Read Breaking News and Trivia To Me in Real Time

QNN USA: Read USA Breaking News and Elevate your brain with Brain Teasers and Trivia daily.
https://inRealtimeNow.com/usa

USA #USABreakingNews #USABrainTeasers #USATrivia #USAGeographyQuiz #USAHistoryQuiz

QNN #InRealTimeNow

QNN UK: Read United Kingdom Breaking News and Elevate your brain with Brain Teasers and Trivia daily.
https://inRealtimeNow.com/uk

UK #UKBreakingNews #UKBrainTeasers #UKTrivia #UKGeographyQuiz #UKHistoryQuiz

QNNUK #InRealTimeNowUK

QNN World: Read World Breaking News and Elevate your brain with Brain Teasers and Trivia daily.
https://inRealtimeNow.com

World #WorldBreakingNews #WorldBrainTeasers #WorldTrivia #WorldGeographyQuiz #WorldHistoryQuiz

QNNWorld #InRealTimeNowWorld

QNN Latin America: Read Latin America Breaking News and Elevate your brain with Brain Teasers and Trivia daily.
https://inRealtimeNow.com/LatinAmerica

LatinAmerica #LatinAmericaBreakingNews #LatinAmericaBrainTeasers #LatinAmericaTrivia #LatinAmericaGeographyQuiz #LatinAmericaHistoryQuiz #QNN

QNN Asia: Read Asia Breaking News and Elevate your brain with Brain Teasers and Trivia daily.
https://inRealtimeNow.com/Asia

Asia #AsiaBreakingNews #AsiaBrainTeasers #AsiaTrivia #AsiaGeographyQuiz #AsiaHistoryQuiz

QNNAsia #InRealTimeNowAsia #BreakingNews #Trivia #Quiz #Brainteasers

QNN Europe: Read Europe Breaking News and Elevate your brain with Brain Teasers and Trivia daily.
https://inRealtimeNow.com/Europe

Europe #EuropeBreakingNews #EuropeBrainTeasers #EuropeTrivia #EuropeGeographyQuiz #EuropeHistoryQuiz

QNNEurope #InRealTimeNowEurope #BreakingNewsEuropa #Trivia #QuizEurope #BrainTeaserEurope #Europeans

QNN Africa: Read Africa Breaking News and Elevate your brain with Brain Teasers and Trivia daily.
https://inRealtimeNow.com/Africa

Africa #AfricaBreakingNews #AfricaBrainTeasers #AfricaTrivia #AfricaGeographyQuiz #AfricaHistoryQuiz

QNN #InRealTimeNow #BreakingNews #Trivia #Quiz #BrainTeasers

QNN Canada: Read Canada Breaking News and Elevate your brain with Brain Teasers and Trivia daily.
https://inRealtimeNow.com/canada

Canada #QNN #InRealTimeNow #BreakingNEws #Trivia #Quiz #ReadNewsToMe #Brainteasers #QuizCanada

QNN Oceania: Read Canada Breaking News and Elevate your brain with Brain Teasers and Trivia daily.
https://inRealtimeNow.com/oceania

Oceania #QNNOceania #InRealTimeNowOceania #BreakingNEwsOceania #TriviaOceania #QuizOceania #ReadNewsOceaniaToMe #BrainteasersOceania #QuizOceania

QNN USA

AWS Data analytics DAS-C01 Exam Preparation

AWS Data analytics DAS-C01 Exam Prep

You can translate the content of this page by selecting a language in the select box.

Pass the 2023 AWS Cloud Practitioner CCP CLF-C01 Certification with flying colors Ace the 2023 AWS Solutions Architect Associate SAA-C03 Exam with Confidence Pass the 2023 AWS Certified Machine Learning Specialty MLS-C01 Exam with Flying Colors

The AWS Data analytics DAS-C01 Exam Prep PRO App is very similar to real exam with a Countdown timer, a Score card.

It also gives users the ability to Show/Hide Answers, learn from Cheat Sheets, Flash Cards, and includes Detailed Answers and References for more than 300 AWS Data Analytics Questions.

Various Practice Exams covering Data Collection, Data Security, Data processing, Data Analysis, Data Visualization, Data Storage and Management,
App preview:

AWS Data Analytics DAS-C01 Exam Prep PRO

[appbox appstore 1604021741-iphone screenshots]

[appbox googleplay com.dataanalyticsexamprep.app]

[appbox microsoftstore 9NWSDDCMCF6X-mobile screenshots]


This App provides hundreds of Quizzes covering AWS Data analytics, Data Science, Data Lakes, S3, Kinesis, Lake Formation, Athena, Kibana, Redshift, EMR, Glue, Kafka, Apache Spark, SQL, NoSQL, Python, DynamoDB, DocumentDB,  linear regression, logistic regression, Sampling, dataset, statistical interaction, selection bias, non-Gaussian distribution, bias-variance trade-off, Normal Distribution, correlation and covariance, Point Estimates and Confidence Interval, A/B Testing, p-value, statistical power of sensitivity, over-fitting and under-fitting, regularization, Law of Large Numbers, Confounding Variables, Survivorship Bias, univariate, bivariate and multivariate, Resampling, ROC curve, TF/IDF vectorization, Cluster Sampling, Data cleansing, ETL, IoT, etc.

[appbox appstore 1604021741-iphone screenshots]

[appbox googleplay com.dataanalyticsexamprep.app]

[appbox microsoftstore 9NWSDDCMCF6X-mobile screenshots]

  • Machine Learning Cheat Sheets
  • Python Cheat Sheets
  • SQL Cheat Sheets
  • Data Science and Data analytics cheat sheets