Azure AI Fundamentals AI-900 Exam Preparation

Azure AI Fundamentals AI-900 Exam Prep PRO

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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

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Azure AI Fundamentals Breaking News – Azure AI Fundamentals Certifications Testimonials

  • Permission denied when connecting to VM from SSH on Windows
    by /u/States0fMind (Microsoft Azure) on February 5, 2023 at 12:06 am

    Hey everyone, I have tried several troubleshooting steps including using PuTTy. I have tried using CLI and powershell to connect to the instance, and made sure I am in the correct folder. when running the SSH command I get this error. I have confirmed that the file permissions of the .PEM file is set to read only, and that my user (admin) is the only one with permission, and this did not solve the issue. https://preview.redd.it/kfdd1vp1h9ga1.png?width=861&format=png&auto=webp&s=625e7add5dd360fd511b8d908694a05d1506bdbf https://preview.redd.it/az39aoxdh9ga1.png?width=990&format=png&auto=webp&s=5a6cc9cd1fc1b2fbfe9908ea3c39206e1f1e2c84 submitted by /u/States0fMind [link] [comments]

  • I just want to convert a PostgreSQL database into an Azure SQL database. Is there a way that doesn't make me want to hurl myself off a cliff?
    by /u/Kwahn (Microsoft Azure) on February 4, 2023 at 11:22 pm

    I have 315 tables with thousands of columns. Things I've tried: #1: The SQL Server Import and Export Wizard. I get thousands of data type errors - most are because, while Azure SQL has datetimeoffsets and PostgreSQL has timestamps with time zones, this useless tool does not provide any way for me to specify that all timestamps with time zones should become datetimeoffsets, and other mappings. It wants me to, manually, one-by-one, select the datatype from a dropdown for thousands of columns. I'm good on my RSI, thanks, and I can't seem to re-run saved packages in this tool and have no clue how to use it. #2: Visual Studio 2022 with SSIS Integration Services. Only works a table at a time - I'm not setting up 315 sets of connection string->transformation->destination string flowchats. #3: ESF Database Migration Toolkit. I'm not a huge fan of random Chinese programs that cost $500, but I'm pretty desperate and it's getting tempting. ​ Any ideas? submitted by /u/Kwahn [link] [comments]

  • I passed the AZ900!
    by /u/Annual_Guidance2663 (Microsoft Azure Certifications) on February 4, 2023 at 10:31 pm

    Thanks for the study materials that all of you provided. Really helped. Passed on my first try. Took the exam online which was very easy. submitted by /u/Annual_Guidance2663 [link] [comments]

  • Azure GlobalAdmin MFA Lockedout
    by /u/dcdiagfix (Microsoft Azure) on February 4, 2023 at 9:18 pm

    I have a tenant I use for dev that has only two global admins and they both use the same device and have the same number set on the account. My phone went crazy and had to be reset, no issue, because I have authenticator all being backed up. But when I restore it m, Authenticator doesn’t actually restore Azure accounts properly!! So take note on that!! Secondly I now cannot logon as both accounts say I need to use the azure app or enter the code and do not allow the number to be used or a call. Anyone have any suggestions other than wait till. Monday then go through Microsoft support hell… And he’s if/when I get this back working I’ll setup additional MFA devices like a yubikey or alternate global admin like my wife or something!!! So annoying as I thought the Authenticator backups would work!! submitted by /u/dcdiagfix [link] [comments]

  • Are Microsoft Certifications Worth it?
    by /u/madzbae (Microsoft Azure Certifications) on February 4, 2023 at 9:15 pm

    I am considering getting a certification, particularly the Microsoft 365 Fundamentals. For context, I am a sophomore majoring in Human Resources and Labor Relations and currently searching for HR internship roles. My main goal is to stand out and showcase my knowledge as a potential candidate to recruiters. Are these certifications helpful in any way? I feel they would be essential since most companies acquire Microsoft Office and its products, but most of these certifications focus on tech. I'm unsure if these certifications will be relevant to my academic ambitions and career fields. Still, I would like to kick my foot into the door of the tech industry in my professional career post-graduation as an HR Business Analyst. Any insight would be appreciated! submitted by /u/madzbae [link] [comments]

  • How to calculate the combined uptime of AKS?
    by /u/Bulky-Importance-533 (Microsoft Azure) on February 4, 2023 at 9:11 pm

    The uptime of the AKS is covered here: https://azure.microsoft.com/en-us/support/legal/sla/kubernetes-service/v1_2/ The uptime for any VM is definded here: https://azure.microsoft.com/en-us/support/legal/sla/virtual-machines/v1_9/ But how is the combined uptime calculated? Is there a tool for it? If not: How are the numbers combined if e.g. I have an AKS with one systennode with 99.5% and one workload node with also 99.5% and the 99.99% of the (controlplane?) with 99.99%. ps. I know how serial and parallel parts are calculated together, but I'm not sure about serial and parallel in this case. Thanks for any help! submitted by /u/Bulky-Importance-533 [link] [comments]

  • How do I automise an excel macro running on a VM?
    by /u/Playstein (Microsoft Azure) on February 4, 2023 at 8:45 pm

    Hi, I am a first time Azure user with no experience whatsoever. Currently I host a VM whose purpose is to run an Excel Script for some data collection. As of now I use Z-Cron to start the script and later on terminate Excel. I want to combine this with auto starts and shutdowns of the VM as I'm on a tight budget.However, I cannot get Z-Cron to work after the automatic start of the VM. When I start the VM manually, Z-Cron works fine and executes my .bat files which in turn execute my Excel scripts. I do not really know how I could fix this without having the VM run around the clock which I dont want. Any ideas? submitted by /u/Playstein [link] [comments]

  • Is it normal that POST SignalR reconnect request in my webforms project should take 42 seconds in azure app service?
    by /u/Lekowski (Microsoft Azure) on February 4, 2023 at 8:15 pm

    Is it normal that POST SignalR reconnect request in my webforms project should take 42 seconds in azure app service? The SignalR polling request is also sometime taking up to 14 seconds This is an older ASP.NET Framework 4.0 webforms project that we just moved to Azure App Services. Does anyone know if this is normal amount of time it should take and how I can fix this? ​ https://preview.redd.it/jio5zl25g8ga1.png?width=2006&format=png&auto=webp&s=10369c091563baba412cd8b35b352c6f19e5dcaf https://preview.redd.it/u2cab9p8c8ga1.png?width=660&format=png&auto=webp&s=e67e328f6ae66f51ab014681f834412871183f6d Here are the versions of the signalr that I am using: ​ https://preview.redd.it/yumxdyvac8ga1.png?width=1872&format=png&auto=webp&s=c42adb8a1d5d1aabee951ddb717f8ba0bbe899c6 submitted by /u/Lekowski [link] [comments]

  • Passed AZ900, what’s next?
    by /u/fifi_mcfly (Microsoft Azure Certifications) on February 4, 2023 at 3:51 pm

    I passed the AZ 900 after cramming John Savill’s playlist. I do work I.T. But this is my first I.T. job, level 1 help desk (been here for 3 months). I’m wondering what path to go down next. I enjoy learning about networking, but cyber security is vital, cloud engineering sounds like a solid path to take. I just feel like I can’t focus, like a kid in a candy shop I want it all. If any of you want to share your experiences, maybe it will help me choose a path and set my next certification goal. submitted by /u/fifi_mcfly [link] [comments]

  • Pearson vue test centre questions
    by /u/Shangoinhood (Microsoft Azure Certifications) on February 4, 2023 at 12:55 pm

    In the unlikely possible of one failing s Person Vue exam - do they provide feedback on which areas or questions were failed ? ​ Thanks submitted by /u/Shangoinhood [link] [comments]

  • i am running out of things to do
    by /u/v3kmw (Microsoft Azure) on February 4, 2023 at 9:16 am

    i try to open port 25565 and it says it opened, but then i check the port and its closed, windows firewall is off, i dont have any firewall on my vm and all of my other stuff is configured, im new so i dont know a lot of stuff edit: i guess its just port forwarding in general, cant do it, only 3389 is open submitted by /u/v3kmw [link] [comments]

  • Az900 cert job related question.
    by /u/stoneassassins (Microsoft Azure Certifications) on February 4, 2023 at 8:20 am

    I was looking for some type of Jr Admin role I already have Previous IT experience A+,Net+,Sec+ would Az-900 be a good go to cert next. submitted by /u/stoneassassins [link] [comments]

  • Migrate From Sub to Sub
    by /u/iswandualla (Microsoft Azure) on February 4, 2023 at 7:16 am

    Hey all Looking for something thay could "more effective;y" migrate resources from a subscription to another. For example, I have sub a, and want to move to say, csp sub b. Beyond the standard rg migrate, have you seen anything thats more...... broad? Sorry if it seems a little whiney.. but.. isnt there something out there that doesnt feel like i am playing resouce wack a mole? submitted by /u/iswandualla [link] [comments]

  • Logging help.
    by /u/photography_and_tech (Microsoft Azure) on February 4, 2023 at 7:00 am

    I am currently working with an app service to which I have deployed a dotnet 6 web app. Best way to perform debug logging? I'm trying to get it as close as possible to where I can write code like logger.LogInformation("my message"); and be able to access it somewhere in azure portal. Any and all help/recommendations are appreciated! Thanks! submitted by /u/photography_and_tech [link] [comments]

  • Azure Active Directory help
    by /u/anxiousmarcus (Microsoft Azure) on February 4, 2023 at 6:07 am

    Hi everyone, I’ve been working in Azure for a very long time and am comfortable with just about everything on it - except AAD. It usually is bridging the on prem AD with AAD or using AAD to authorise stuff and the usual. I have no idea wtf is going on half the time and it is all so confusing the docs are not clear it’s all over the place. I don’t come from a sysadmin background so this is pretty new to me. If I could become an expert in this area, I’d be able to truly be the go-to Azure guy. Can you please point me to quality resources to learn more about AAD and how to use it? I currently use MS learn. Thanks in advance submitted by /u/anxiousmarcus [link] [comments]

  • Azure cost management giving an error when trying to create. Any help appreciated!
    by /u/WickedSlice13 (Microsoft Azure) on February 4, 2023 at 4:33 am

    Hi all I'm fairly new to Azure but I've been trying to set up this cost management service that throws an error that I haven't been able to figure out. Any ideas where to start? I've tried googling it without too much luck. https://imgur.com/a/s6oD6Sg submitted by /u/WickedSlice13 [link] [comments]

  • New to Azure
    by /u/NBleau96 (Microsoft Azure) on February 4, 2023 at 4:20 am

    Hi everyone! I recently moved the small business that I worked for to using Microsoft 365 and SharePoint (they were previously all using PC in a workgroup with local username). I now have them authenticated with the free Azure AD included with the 365 subscription, but I want to implement additional features such as : admin lock for software install, company lockscreen, automatically log off inactive users, printers already mapped, etc. From what I have read (not from IT background), I would need a domain controller which need to be on premises. Thus, I have some questions: Is there a Azure service that would allow me to implement these on the cloud? Would I need a VM running Windows Server? We have a NAS that I use to run Windows Sever on premises. Would this be a better / cheaper option? Can I make Azure AD work in hybrid with a on prem DC? Where can I educate myself on Windows Server, AD, DC, etc. as I will be in charge of setting up and managing our business (new to this, I'm a junior business). Thank you for your help and guidance! It is much appreciated submitted by /u/NBleau96 [link] [comments]

  • How do you pronounce it?
    by /u/Natural-Nectarine-56 (Microsoft Azure) on February 4, 2023 at 1:49 am

    Curious how people say it. View Poll submitted by /u/Natural-Nectarine-56 [link] [comments]

  • Passed AZ-305 and AZ-104!!
    by /u/acura247 (Microsoft Azure Certifications) on February 4, 2023 at 1:22 am

    Just passed the az305 today (scored 777 on my 2nd attempt) and the az104 was passed on the first attempt earlier last year. Az305 exam was way tougher than the 104 exam because of all the memorization. After 8 months of on and off studying it’s finally done! Main resources used were: Microsoft Learn, John Savill on YouTube, and ESI virtual training with measureUp practice tests. My work day to day is systems administration in onprem AD and hybrid Azure AD. submitted by /u/acura247 [link] [comments]

  • RDP into Ubuntu Server on Azure
    by /u/bigbluedog87 (Microsoft Azure) on February 4, 2023 at 1:17 am

    This is for a school lab. I can SSH into my server just fine but I cannot RDP into it. I need to check a port to show I have created a docker container but of course, with Ubuntu Server, there is no GUI and what I learned is that RDP does not come with it and is a process to install. Is there a way I can show connect to my ubuntu server that is hosted on azure and access a web page like http://localhost:3000 from my own computer? TIA Cheers! Tyson submitted by /u/bigbluedog87 [link] [comments]

Download Azure AI 900 on iOs

Download Azure AI 900 on Windows10/11

We know you like your hobbies and especially coding, We do too, but you should find time to build the skills that’ll drive your career into Six Figures. Cloud skills and certifications can be just the thing you need to make the move into cloud or to level up and advance your career. 85% of hiring managers say cloud certifications make a candidate more attractive. Start your cloud journey with these excellent books below:


AWS Machine Learning Certification Specialty Exam Prep

AWS Machine Learning Specialty Certification Prep (Android)

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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

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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

  • [D] GNN Is node information required ?
    by /u/ab_11nav (Machine Learning) on February 5, 2023 at 12:44 am

    [D] Hey, It's kind of a simple one but just putting it out for opinions: when passing a graph through graph neural networks to obtain vectors for all the nodes. Is the info in the node required because all we care is about the position of certain node in context to the whole graph and that's how gnn outputs the vectors of each node. Sorry if that was messy. submitted by /u/ab_11nav [link] [comments]

  • What text to speech does this guy use? [R]
    by /u/candidhorse4 (Machine Learning) on February 5, 2023 at 12:03 am

    https://youtu.be/ktdUeqzzhiA what text to speech does he use? he's been popping up on my yt feed lately and i can see he has different voices in his videos and most of them sound robotic, what do you think it's being used here? submitted by /u/candidhorse4 [link] [comments]

  • [D] Mixing metadata and text in embedding for KNN search?
    by /u/DeadPukka (Machine Learning) on February 4, 2023 at 8:36 pm

    Say I wanted to do a KNN similarity search, using a text embedding from a block of text from a PDF. But I also want to find these documents written at a similar time, and with similar title and author. Would it make sense to prepend a written form of this metadata ahead of the document text, and sending that to the embedding? Like “this document titled ABC was written by XYZ on January 1, 2020”. Or would it be better to create a separate embedding for the metadata, and merge the embeddings afterwards? submitted by /u/DeadPukka [link] [comments]

  • [Project] ideas NLP
    by /u/mems_m (Machine Learning) on February 4, 2023 at 7:32 pm

    Looking for ideas to start an NLP project, I'd like to explore something not too mainstream or novel to some extent, any ideas or datasets I should check out? submitted by /u/mems_m [link] [comments]

  • [N] [R] Google announces Dreamix: a model that generates videos when given a prompt and an input image/video.
    by /u/radi-cho (Machine Learning) on February 4, 2023 at 7:26 pm

    submitted by /u/radi-cho [link] [comments]

  • [P] NLP Q&A Bot Project Guidance
    by /u/sasi_0212 (Machine Learning) on February 4, 2023 at 6:55 pm

    I have performed below steps and require guidance to proceed further I have extracted and preprocessed the text from PDFs. Performed NER on the extracted text and created a data frame of entities. Created a function to preprocess the query and identified the entities in the question. Now I need guidance or any reference to perform the below steps. Match the entities from the question with the entities in the PDF text and retrieve the paragraph ? Calculate the similarity score for each paragraph and display the relevant paragraph Generate answer from the identified paragraph ? Please also guide me if the approach followed is correct or not ? submitted by /u/sasi_0212 [link] [comments]

  • [D] Could you use SVD for supervised learning?
    by /u/TemperatureOk6810 (Machine Learning) on February 4, 2023 at 6:36 pm

    It seems like Singular Value Decomposition is only used for unsupervised learning when trying to reduce the number of features in a high dimensional dataset, but I was wondering why I don't see any articles or literature on using SVD for supervised learning. I know that using a regularization function like Lasso (L1) can get rid of irrelevant features, but I don't see why SVD wouldn't be helpful too. submitted by /u/TemperatureOk6810 [link] [comments]

  • [R] Coinductive guide to inductive transformer heads
    by /u/adamnemecek (Machine Learning) on February 4, 2023 at 6:30 pm

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

  • [R] Grounding Language Models to Images for Multimodal Generation
    by /u/MysteryInc152 (Machine Learning) on February 4, 2023 at 6:23 pm

    submitted by /u/MysteryInc152 [link] [comments]

  • [R] 3D aware image synthesis with a spherical background — BALLGAN
    by /u/t0ns0fph0t0ns (Machine Learning) on February 4, 2023 at 5:21 pm

    submitted by /u/t0ns0fph0t0ns [link] [comments]

  • please help a bunch of students?(with pre annotated data set) we were assigned to this task with no prior knowledge of ML i don't know where to begin with we tried a couple of method which ultimately failed id be thankful for anyone who would tell me in steps what to do with this data[D]
    by /u/errorr_unknown (Machine Learning) on February 4, 2023 at 5:05 pm

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

  • [P] What tools are available for labelling data for LayoutLMv3?
    by /u/TensorDudee (Machine Learning) on February 4, 2023 at 4:44 pm

    I have been working on information extraction from documents, but what I got to know is there are not enough free tools available for labelling data for these kind of tasks. Are there any free tools available for labelling data for LayoutLM models? submitted by /u/TensorDudee [link] [comments]

  • 15 years old and bad at math [D]
    by /u/Daniel_C_____ (Machine Learning) on February 4, 2023 at 4:27 pm

    Hi, I've done some programming type things before and I'm interested in learning about ML, to be able to make some basic projects with ML, how good does my math need to be. I get As at school in math but I know that what I'm learning now is pretty basic. I'm just wondering whether I should try learn about ML or wait a few more years for my math skills to improve submitted by /u/Daniel_C_____ [link] [comments]

  • [N] GitHub CEO on why open source developers should be exempt from the EU’s AI Act
    by /u/EmbarrassedHelp (Machine Learning) on February 4, 2023 at 3:42 pm

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

  • [R] Bilingual (or Multilingual) Large Language models are the key to human parity on machine translations even for difficult language pairs and domains (e.g literature). An English-Chinese comparison.
    by /u/MysteryInc152 (Machine Learning) on February 4, 2023 at 3:31 pm

    submitted by /u/MysteryInc152 [link] [comments]

  • [R] Chinchilla data-optimal scaling laws: In plain English
    by /u/adt (Machine Learning) on February 4, 2023 at 3:28 pm

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

  • [D] Purchasing Google Colab Pro
    by /u/RaphDaPingu (Machine Learning) on February 4, 2023 at 11:23 am

    Hi everyone, I'm currently knees-deep in a ML project with a friend (~4 months of development) and my free compute units on Colab finally ran out. After searching for alternatives, and finding none that work as smoothly as Colab, we've considered to buy a Pro subscription. My question is: How can I share the compute units I'll get from Colab Pro with said friend? Don't want to make the purchase and later realize that I'm the only person with access to those compute units. submitted by /u/RaphDaPingu [link] [comments]

  • Information Retrieval book recommendations? [D]
    by /u/Ggronne (Machine Learning) on February 4, 2023 at 9:27 am

    Maybe not a Machine Learning question, but I'm searching for good books about information retrieval. The two primary ones I can find are: - Introduction to Information Retrieval (2008) - Information Retrieval - Implementing and Evaluating Search Engines (2016) ​ They seem a bit old for 2023, but they may still be useful? Do you have any good book recommendations? submitted by /u/Ggronne [link] [comments]

  • [R] What’s your suggestion for offline RL?
    by /u/AndyMeowMeow (Machine Learning) on February 4, 2023 at 3:57 am

    Hi guys! I read a lot of offline RL papers in last Fall semester and choose it as my course project. Offline RL seems to be a very hot topic in recent years, I believe that the major challenge for offline RL are (i) distribution shift and (ii) overestimation. The second challenge is caused by (i), because the learners/agents will never allow to interact with the true environment and they will too optimistic for unseen state-actions. Hence, there are many papers to address such challenges, e.g., CQL and MOPO. However can these methods handle misleading datasets? Consider the following example. Suppose we have only one state (MAB) and two arms. The reward of the first arm will return 2/3 with probability 1 and the reward model of second arm is Bernoulli distribution with p=1/2. Clearly, choosing the first arm is the best choice. Now, for the dataset, unfortunately, all samples on the second arm received reward 1. Because the agent only can access this misleading dataset, if we use Bayesian methods, then the posterior will give a high score for the second arm. If we use Lower Confidence Bound, we need to count the occurrence of each arm. Then, this is very hard to extend this method to MDPs with arbitrary large state and action space. So, does anyone know a function can capture this uncertainty (caused by the dataset) or can any methods to tell the learner that you’re in a very misleading situation? submitted by /u/AndyMeowMeow [link] [comments]

  • [N] FT: Google invests $300mn in artificial intelligence start-up Anthropic
    by /u/bikeskata (Machine Learning) on February 3, 2023 at 11:00 pm

    From the Financial Times: https://www.ft.com/content/583ead66-467c-4bd5-84d0-ed5df7b5bf9c Unpaywalled: https://archive.is/ciZPV I guess I'm a little surprised, this feels like Google backing a competitor to 1) their own Google Brain teams, and 2) Deepmind. The cynical take might be that they're trying to lock in Anthropic; the same way Microsoft locked in OpenAI. submitted by /u/bikeskata [link] [comments]

  • [R] Topologically evolving new self-modifying multi-task learning algorithms
    by /u/Feeling_Card_4162 (Machine Learning) on February 3, 2023 at 9:36 pm

    I’ve been developing this idea since I first thought of it in mid December last year. Here’s the elevator pitch (skip to how for technical details): Why? Existing models and learning algorithms are extremely static and unable to generalize across tasks as well as humans or to adapt well to new / changing business requirements. This even applies to the final solutions in recent AutoML (see An Empirical Review of Automated Machine Learning, AutoML: A survey of the state-of-the-art). Beyond being static, most suffer from a need for high-performance systems with large amounts of compute and/or memory. This static and bloated nature not only limits the reusability of code, pipelines and all the computations that went into previous versions of a model architecture upon finding a better one. It also forces our preconceptions of what type of learning is best for the task and which degrees of freedom are needed onto the solution. Instead of perpetuating all these assumptions, I want to create a sort of AutoML capable, under the right conditions, of even developing a learning algorithm / model combination that can dynamically add or remove inputs and outputs subsequently incorporating them into the network with adaptive online self-directed learning. ​ How? Basically, the idea in a nutshell is to use some form of NEAT (neuro evolution of augmenting topologies) and have special nodes in the network that will be activated based on different criteria (depending on the node’s allele for that gene). When activated, however, these special nodes would not send any input forward but instead apply some property change(s) to their connected nodes and/or edges (yes they can connect to an edge and they could choose a subset of their connections or just apply the change(s) to all or use a maximum number of connection hops, etc). It could also create and destroy nodes depending on the effects defined by the allele. There would also be different firing policies (like the normal always fire or thresholding with or without decay, etc.) for all nodes to allow for better leveraging of temporal dynamics. Basically every property of all these policies, including the policy template itself is a potential target for modification by the special neuromodulatory nodes along with the normal properties of a “neuron” like bias, input weights, activation function, aggregation function, etc. The fitness function would either be abstracted away by using rtNEAT in a simulated environment or just be a combined score over a set of simulated tasks. This should add a regularizing force if the tasks are similar enough to help enforce generalization of the evolved algorithms. There should be no limitation placed on cycles in the graph, in fact I would expect cycles to be part of the evolved solutions, which would make them dynamical systems. To reduce the computational complexity of finding a viable solution, the initial population should also be implementations of existing algorithms in the form of the self-modifying neural networks mentioned. It might even be possible to generate a computational graph from open-source implementations as a starting point for the initial population. All of this together should also allow for different parts of the network to use different learning strategies. Theoretically, this can even allow for the evolution of and incorporation of self-organizing criticality and percolation. This could even evolve something that can dynamically add or remove inputs and outputs then incorporate them into the network with adaptive online learning. The network could literally change the learning paradigm for different portions of itself on the fly in different ways depending on the situation. ​ For further clarity, I'm also attaching this mock up of a design I've started working on for an analysis tool Thoughts? Please feel free to chime in. Science should be a public discussion. submitted by /u/Feeling_Card_4162 [link] [comments]

  • [R] Multimodal Chain-of-Thought Reasoning in Language Models - Amazon Web Services Zhuosheng Zhang et al - Outperforms GPT-3.5 by 16% (75%->91%) and surpasses human performance on ScienceQA while having less than 1B params!
    by /u/Singularian2501 (Machine Learning) on February 3, 2023 at 9:31 pm

    Paper: https://arxiv.org/abs/2302.00923 Github: https://github.com/amazon-science/mm-cot Twitter: https://paperswithcode.com/top-social Abstract: Large language models (LLMs) have shown impressive performance on complex reasoning by leveraging chain-of-thought (CoT) prompting to generate intermediate reasoning chains as the rationale to infer the answer. However, existing CoT studies are mostly isolated in the language modality with LLMs, where LLMs are hard to deploy. To elicit CoT reasoning in multimodality, a possible solution is to fine-tune small language models by fusing the vision and language features to perform CoT reasoning. The key challenge is that those language models tend to generate hallucinated reasoning chains that mislead the answer inference. To mitigate the effect of such mistakes, we propose Multimodal-CoT that incorporates vision features in a decoupled training framework. The framework separates the rationale generation and answer inference into two stages. By incorporating the vision features in both stages, the model is able to generate effective rationales that contribute to answer inference. With Multimodal-CoT, our model under 1 billion parameters outperforms the previous state-of-the-art LLM (GPT-3.5) by 16% (75.17%->91.68%) on the ScienceQA benchmark and even surpasses human performance. https://preview.redd.it/g9eo0f94k1ga1.jpg?width=1331&format=pjpg&auto=webp&s=9b5fc84b424aff7160b69ff7c7a5fad071cbb7d2 https://preview.redd.it/fgboci94k1ga1.jpg?width=1323&format=pjpg&auto=webp&s=35215544d9e0a74881c42503d04b62ab09081af1 https://preview.redd.it/2ojfym94k1ga1.jpg?width=1660&format=pjpg&auto=webp&s=cf040c4f422f6c323e8c4d75474a5881f45a41d1 https://preview.redd.it/k7huem94k1ga1.jpg?width=1326&format=pjpg&auto=webp&s=f4326a5088744d3856e5c5c23311be6348fab924 https://preview.redd.it/05m8rf94k1ga1.jpg?width=658&format=pjpg&auto=webp&s=ac4110e57a49fcea6f8c03571edd391ff71bd13d submitted by /u/Singularian2501 [link] [comments]

  • [P] I trained an AI model on 120M+ songs from iTunes
    by /u/BullyMaguireJr (Machine Learning) on February 3, 2023 at 7:36 pm

    Hey ML Reddit! I just shipped a project I’ve been working on called Maroofy: https://maroofy.com You can search for any song, and it’ll use the song’s audio to find other similar-sounding music. Demo: https://twitter.com/subby_tech/status/1621293770779287554 How does it work? I’ve indexed ~120M+ songs from the iTunes catalog with a custom AI audio model that I built for understanding music. My model analyzes raw music audio as input and produces embedding vectors as output. I then store the embedding vectors for all songs into a vector database, and use semantic search to find similar music! Here are some examples you can try: Fetish (Selena Gomez feat. Gucci Mane) — https://maroofy.com/songs/1563859943 The Medallion Calls (Pirates of the Caribbean) — https://maroofy.com/songs/1440649752 Hope you like it! This is an early work in progress, so would love to hear any questions/feedback/comments! 😀 submitted by /u/BullyMaguireJr [link] [comments]

  • [N] Google Open Sources Vizier, Hyperparameter + Blackbox Optimization Service at Scale
    by /u/enderlayer (Machine Learning) on February 3, 2023 at 4:33 pm

    Github: https://github.com/google/vizier Google AI Blog: https://ai.googleblog.com/2023/02/open-source-vizier-towards-reliable-and.html Tweet from Zoubin Ghahramani: https://twitter.com/ZoubinGhahrama1/status/1621321675936768000?s=20&t=ZEuz9oSc_GWYxixtXDskqA submitted by /u/enderlayer [link] [comments]

  • [D] Understanding Vision Transformer (ViT) - What are the prerequisites?
    by /u/SAbdusSamad (Machine Learning) on February 3, 2023 at 11:51 am

    Hello everyone, I'm interested in diving into the field of computer vision and I recently came across the concept of Vision Transformer (ViT). I want to understand this concept in depth but I'm not sure what prerequisites I need to have in order to grasp the concept fully. Do I need to have a strong background in Recurrent Neural Networks (RNNs) and Transformer (Attention Is All You Need) to understand ViT, or can I get by just knowing the basics of deep learning and Convolutional Neural Networks (CNNs)? I would really appreciate if someone could shed some light on this and provide some guidance. Thank you in advance! submitted by /u/SAbdusSamad [link] [comments]

  • 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

  • Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2
    by Vidya Sagar Ravipati (AWS Machine Learning Blog) on January 13, 2023 at 5:23 pm

    This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a

  • Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1
    by Olivia Choudhury (AWS Machine Learning Blog) on January 13, 2023 at 5:22 pm

    This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a

  • Multilingual customer support translation made easy on Salesforce Service Cloud using Amazon Translate
    by Mark Lott (AWS Machine Learning Blog) on January 12, 2023 at 5:51 pm

    This post was co-authored with Mark Lott, Distinguished Technical Architect, Salesforce, Inc. Enterprises that operate globally are experiencing challenges sourcing customer support professionals with multi-lingual experience. This process can be cost-prohibitive and difficult to scale, leading many enterprises to only support English for chats. Using human interpreters for translation support is expensive, and infeasible since

  • Redacting PII data at The Very Group with Amazon Comprehend
    by Andy Whittle (AWS Machine Learning Blog) on January 12, 2023 at 5:46 pm

    This is guest post by Andy Whittle, Principal Platform Engineer – Application & Reliability Frameworks at The Very Group. At The Very Group, which operates digital retailer Very, security is a top priority in handling data for millions of customers. Part of how The Very Group secures and tracks business operations is through activity logging

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

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