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!
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!
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?
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;
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– Try a HINT to help you remove a wrong
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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!
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!
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.
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!
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.
– 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
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:
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.
Hi guys , So i have AZ-900 and MS-900 , im studying to AZ-104 and then to MD-102. My work if based on SCCM and future in Intune all around infrastructure, love what i do and i wanna keep learning , honestly after take az104 and MD102 dont know what path i should take. Any advice? Thanks. submitted by /u/No_Application_110 [link] [comments]
Hello, We were considering our options if we got rid of our on prem domain controller. I'm wonder about remote users - e.g. people who don't have a point to site tunnel on a firewall. Currently we have them connecting via the Microsoft store app - Azure VPN client. The client works great but you have to login to your PC then launch the program as far as I know (I don't claim to know anything related to azure - that's why I'm asking here). I'd love some way to either have it load as a service or auto load and connect on windows login or it seems like MS would build the client into the onboard Windows 11 VPN services? submitted by /u/boe_d [link] [comments]
Hello, If I have is 365 standard (not premium, not e3, no in tune or additional licenses, just the $12.50 per month licens and no others), can I set up MFA for a PC connected to an Azure VM that is a DC or the Azure Active Directory Domain Services? https://azure.microsoft.com/en-us/products/active-directory/ds#Resources To clarify the company will not pay for intune or premium or any additonal monthly fee for the clients so just getting an addional or upgraded license is not an option. submitted by /u/boe_d [link] [comments]
I have been assigned the Owner role to 3 subscriptions: prod dev test All three subscriptions have the same configurations. The only difference is their ID and name. In my Azure portal, when I click the subscriptions sections, I can only see one subscription - the dev one. However, when creating a VM, I can see all three subscriptions in the dropdown when selecting the subscription. What is going on? This looks so much like an Azure bug... but I can't believe Azure has such a bug. ---------------- UPDATE ----------------- I am pretty sure this is an Azure bug: In Home --> Subscriptions, I can only see dev subscription. However, in Home --> Management groups, I can see all three subscriptions under the Tenant Root Group. There is nothing I could thing of that is making the dev subscription different from the other 2, except for their names and IDs. What the hell! submitted by /u/kid_learning_c [link] [comments]
Hello, I'm not sure whether using the Azure Active Directory Domain Services or setting up a VM running domain controller services is a better choice. Initially we'll set up AD Connect. I'm not sure if it works with https://azure.microsoft.com/en-us/products/active-directory/ds. Eventually we may get rid of the on prem server. Thanks submitted by /u/boe_d [link] [comments]
Hey guys, hope everyone is doing well. I've currently been studying to complete the AZ-204 exam. I've gone through all the learn modules, taken the practice assessment many, many times, and have gone through Scott Duffy's AZ-204 Udemy course. Now, I'm planning to find as many practice tests as I can online and grind them out. My question: what are your learning resource recommendations for this exam? Frankly, I've been studying quite a bit, but every thread I've read on here talks about how weirdly designed this exam is. Makes me a little uneasy. Appreciate the time, any help is greatly appreciated. submitted by /u/SuperAlbinoRhino [link] [comments]
Is anyone aware of a potential timeline to make the Azure connected machine against available to the ARM architecture? submitted by /u/cdesal [link] [comments]
I'm having some issues understanding the following in regards to configuring a user defined route using a route table. I'm having a customer that has a part of their datacenter environment connected to Azure using a virtual network gateway with a IPsec tunnel that I'm converting to use a FortiGate VM (also IPsec) next week. I wanted to test the configuration by attaching a route table to a Azure subnet with just 1 route configured, gateway route propagation turned off, so it should only be affecting the connectivity for 1 host in my opinion. When I applied this route table to a Azure subnet, all of the connectivity from the customer side (datacenter) to Azure is halted. So I created a new subnet with a test VM to check where this is not going the way I'm expecting. What I discovered is that this route table containing only 1 route for 1 host (/32 subnet) is indeed pulling all the default virtual network gateway routes. According to the Azure docs this should not be the case "When you create a route table and associate it to a subnet, the table's routes are combined with the subnet's default routes." https://learn.microsoft.com/en-us/azure/virtual-network/virtual-networks-udr-overview Before applying route table with route to 172.16.193.64/32 After applying route table with route to 172.16.193.64/32 Where am I going wrong with this, or isn't this expected behaviour at all? submitted by /u/Fit_chicken_pizza [link] [comments]
I have a web app(built with Next.js) built & deployed on Azure App Service(client's request). This web app pulls data from a CMS at build time and when i update the CMS with new data the CMS can send a POST request to any URL(webhook) to rebuild the app. Is there any way to trigger a rebuild of the app when a POST request is sent to a webhook in Azure? Thx in Advance(this is my first time using Azure)! submitted by /u/patrik-p [link] [comments]
Hi, So I'm looking for a way to control what device objects in Azure AD different groups have permissions to for the purpose of deleting\disabling and viewing BitLocker Key info, similar to organizational units. I see the device management permissions here https://learn.microsoft.com/en-us/azure/active-directory/roles/custom-device-permissions for a custom role which would be needed, and then applying that to a group with the desired user in it. It seems the next part would be to create a dynamic Azure AD group that's populated based on some attribute, in this case probably a naming prefix, but how would I restrict the users in this custom role to only that dynamic Azure group? Thanks in advanced for any suggestions or pointing me to any relevant documentation! submitted by /u/Thejuice919 [link] [comments]
I have just subscribed to Azure and I created an Ubuntu 22.04 LTS VPS. My VPS has only an IPv4 address and I am not able to add an IPv6 public address to my VPS. Also, How do I add reverse DNS for my IP address? submitted by /u/Allah19122022 [link] [comments]
So question arises, I know terraform is very popular and I do know the basics when it comes to terraform, however, my specialty is really Powershell when it comes to Scripting out anything, whether it’s IAC for Azure or a sysadmin task, or automating workflows. Terraform is generally demanded over powershell from IAC, is this true? I feel as if Powershell can basically do anything and more that Terraform can. Yes, you have to write more code, but if you’re comfortable doing so and your level of experience & expertise is advanced, then would you agree that it doesn’t matter? submitted by /u/Ok_Hearing3804 [link] [comments]
So I thought a major advantage of using v2 disks was that you only got charged for the space used, but if you look at the info for the sizing it says otherwise. Pretty sure the info is wrong but was just wanting to confirm. submitted by /u/rdhdpsy [link] [comments]
Hello, I'm trying to create an azure account using an user from my MS 365 Dev Tenant, however, when I try to sing up, it says that the account type is not supported. Is it possible to sing up for Azure with a MS 365 Dev account ? Another question, how can I link my MS 365 Dev tenant, to use my subscription on my main Azure account ? submitted by /u/Mr-Wedge01 [link] [comments]
Hi, I wanna get this exam passed before it retires, but I am confused as some say it contains labs and some say it does not... has anyone taken this, can you confirm if there are labs involved in this exam. Thanks. submitted by /u/Fearnie85 [link] [comments]
Hi r/AZURE community, I recently encountered an issue with my Azure student account and I'm hoping someone here might be able to help me find a solution. A few weeks ago, I completed a project on Azure, but unfortunately, I forgot to stop a service after I was done. As a result, my account's credit has been depleted, and I find myself in a bit of a predicament. I was wondering if there is any way to recover or replenish the credit on my Azure student account. I understand that this was my mistake, but given my current situation, I would greatly appreciate any guidance or assistance in resolving this issue. submitted by /u/poolyhymnia [link] [comments]
Hello We are currently building our basic infra in azure. With a hub-spoke. In the hub, there is a firewall and we would like route any subnet to the firewall for securing the traffic, visibility, controll. As we would like to segment workloads from workloads in case one is infected / attacked. Aso to put our devs and others in their place, stopping them from making everything public available. So we can build this with route tables, and UDRs. But this is a damm pain in the ass for scaling. Is there a easier way? submitted by /u/YourMustHave [link] [comments]
I've been wondering why is it established practice to include so much duplicate metadata in resource names? Why it is advisable to have deployment region and tier in the resource name for example? As this information is also available in resource metadata. It just feels that portal and cli tools metadata filtering tools are inadequate? It's not once or twice I've run out of name lenght when trying to follow these guidelines. submitted by /u/sp3tk3 [link] [comments]
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
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.
Hi, I've recently gotten this question at a tech company during a ML interview. Let's say we built a classifier that predicts users' certain actions (e.g., clicks on ads). (1) How do we evaluate this model (assuming that it's a heavily imbalanced dataset) - I mentioned that we can use AUC and normalized cross entropy. (Definition: the average log loss per impression divided by what the average log loss per impression would be if a model predicted the background click through rate (CTR) for every impression [1]). As a follow-up question, the interviewer asked, (2) If we have two models: Model1 trained on orignal data without sampling: AUC1, logloss1 on eval data (non-sampled) Model2 trained on 10% neg-downampled data: AUC2, logloss2 on eval data (non-sampled) If their AUC1 == AUC2, and logloss1 == logloss2, which metric implies that the model is better? Which metric should we look at? Which model is better? I mentioned that if the test dataset isn't downsampled, and if their AUC and cross entropy are the same, the two models' quality seem to be the same. I'm not sure if this was the correct answer, but I wasn't sure if I was missing anything and the interviewer didn't give any feedback on my answer. What do you think? Thanks for the insight in advance! [1] Practical Lessons from Predicting Clicks on Ads at Facebook, ADKDD 14 submitted by /u/mayasang [link] [comments]
I was wondering if we can use LoRA for pre-training, by merging LoRA weights with the frozen weights every N step. Or is there a similar pre-training research? submitted by /u/kkimdev [link] [comments]
How do the scores in the ARR results compare to the scores in softconf START? Can we consider the scores we received in this ARR to be comparable to the scores we would have received from a direct submission to START (*such as EMNLP)? submitted by /u/Loose-Research-3105 [link] [comments]
Hello, is there any comprehensive list of the latest SOTA models or architectures in mainstream tasks of AI? If none, I request you to share a few you know here in the comments. With so many models out there, it's hard find the best for a given task at hand. I would highly appreciate if you could share this info. Need it for my research. P.S. I know the question is too vague by mentioning "AI". I just want to collect as many tasks and their respective SOTA models as possible. submitted by /u/SwaroopMeher [link] [comments]
Hey, I am new to machine learning, I am predicting child malnutrition in rural populations worldwide using a decision tree. Could you please guide me on how to extract the database from so many Excel files available on Kaggle in complex features to the database of my purpose i.e. for the rural population. it would be great if you help me out. [link] [comments]
I am trying to parse the very comprehensive paper by Calvin Luo https://arxiv.org/pdf/2208.11970.pdf. Can anyone mathematically show how to go from equation (43) -> (45) using equations of expectations and PGMs? I need help understanding where the variables disappear in the expectations. submitted by /u/flerakml [link] [comments]
Hello all, I have been teaching Machine Learning for a few years now and I wrote an article about the process I use for my training courses with classes of IT professionals. It's about the strategy I use to build intuitions on NNs in a short time (without the need of a CS math course) and while it's mainly geared towards educators in this space, I think many of you would enjoy the read. Let me know what you think! 😀 https://medium.com/@matei.simtinica/how-i-teach-the-intuition-behind-neural-networks-d7b7ca418873 submitted by /u/__data_cactus__ [link] [comments]
Hi guys, I am writing this post to ask for your help on a problem (variation of the Nurse scheduling problem) I am trying to solve using the genetic algorithm. My problem is as follows: I need to automatically generate rosters for a team consisting of a certain number of people. Each person has a different employment contract that includes a different number of working hours per week and a different number of days off. Since I am still at the start point, I set as my initial goal to assign each person a number of work hours per week equal to those in his or her contract. Each individual in the population consists of a binary vector of length equal to: 7 (number of days in the week) * 8 (number of hours the store is open each day) * N (number of people in the team). This vector will represent the weekly work shifts of each team member. If to the array position of index 1 and 2 the algorithm assigns the value 11, it means that the first person on Monday will work from 9 to 10 (each bit is one hour of work) and so on. The algorithm is also passed an array indicating the number of hours per week each person must work, e.g., [40,40,32,32] means that the first person must work 40 hours, the second 40, and so on. My problem is that the algorithm always stays fixed on a solution while varying the mutation probability or population size. In the case of a team consisting of 4 members who will have to work 40,40, 32 and 32 hours respectively, the algorithm assigns all members a pool of 36 hours. Below I show part of the code for the fitness function (I used Python and the library DEAP), in which I assign a penalty proportional to how far the solution is from the correct value of hours per week that each employee must work. def countWeeklyHoursViolations(self, employeeShiftDict): """ :param employeeShiftDict: a dictionary of employee shifts containing the employee name as the key and the weekly shift as the value :return: the number of weekly hours violations """ # simulated annealing will try to minimize this function weeklyHoursViolation = 0 for employee in self.employees: weekly_hours_calculated = sum(employeeShiftDict[employee]) weekly_hours_expected = self.weeklyHours[self.employees.index(employee)] # sum the squared difference between the expected and calculated weekly hours - higher penalty for higher difference weeklyHoursViolation += self.hardConstraintPenalty * abs(weekly_hours_calculated - weekly_hours_expected)**2 return weeklyHoursViolation What do you recommend that I do? Do you have any ideas? I thank you in advance! submitted by /u/BlackLands123 [link] [comments]
First of all, excuse my lack of proper terminology and technical knowledge about the matter, AI and IT are not my fields of expertise but I'm an architect with huge enthusiasm for AI and enjoy discussing with those in the field. so my question is Why don't we see more AI development to generate Architectural buildings in terms of walls, doors, windows and all other elements that constitute a building... hear me out. The integration of AI in architecture has been intensively discussed if not already taking place. However, from my outlook, it seems to be achieved on a relatively superficial level. i.e. through image generation using text prompts such as Midjourney or ControlNET. However, I have yet to see a tool or a model that truly can understand geometry or 3D shapes. Even though geometry can, technically speaking, be represented via text or mathematical formulas for more complex surfaces and shapes. and if geometry can be converted into text, it can be understood and pre-trained, correct? Already an excellent research paper stated a proof of concept on such an idea, the paper is called "Architext" and I think that digging deeper into this idea of representing geometry into text, representing walls, windows, doors, etc into text or any other format that can be pre-trained will definitely hit a spot. Perhaps a wall can be represented by a tuple such as: (baselineL1[Startpoint(x1,y1),Endpoint(x2,y2)], thickness=250 mm, height=2800) In fact, there actually is a file format called IFC which is basically a conversion of entire an BIM into text. Maybe that IFC can be used as the "Training set"? submitted by /u/ThePanArchitect [link] [comments]
Stanford released a remarkable new second order optimizer known as Sophia which uses estimator and utilises clipping mechanism. According to the paper, It is 100K steps more efficient and takes significantly less wall-clock time to compute. The paper is amazing and a milestone at least according to me. They did not provide any code but provided pseudocode and Algorithm to program the optimizer. I find it helpful programming or either understanding the code rather than just reading the literature itself even its pseudocode. Which is why, I took the time to write a function that utilises the Optimizer. If you're interested what hyper params they used it's very much clear in their paper and they also mentioned to get the hyper-params for sophia using a grid search and based on AdamW and Lion's param choices. It is very fast project so I was only able to write the code in very basic way no pytorch or jax whatsoever. I am optimistic to add a training script and few nifty features. That's not until a few weeks. I personally think reading the code and learning Sophia will be very helpful and for many it can provide a new research direction (maybe for your thesis as well). I have adding the github link to my code. Contribution: Roma wasn't built by itself. If you think you have something to offer feel free to contribute to the repository. It'll help others to learn. And you as well. And if you have found my work interesting or helpful consider giving a star, it helps the repository being visible to many people and kinda motivates me to consider providing updates and cool stuff with a project. Otherwise, here's the GitHub code and Paper Link GitHub code: https://github.com/sleepingcat4/Sophia Paper Link: https://arxiv.org/abs/2305.14342 submitted by /u/Sleepin-tiger4 [link] [comments]
Hi all. I came across this app that recognizes trading cards. I am curious what methods they used to implement it. What do you think they used/what would be a good method to implement this type of functionality? E.g., would classification solely on the image work here, or would it be a good strategy to first perform text extraction, and then use the text for performing classification? Any insights/ideas are welcome! submitted by /u/Levissie [link] [comments]
Hi, I've recently gotten this question during an interview with a tech company. I answered that it'd have more dramatic effect that L2 term has, making the weight coefficient even smaller. The interviewer said that there is even more important aspect to it: it now makes the problem non-convex because the third order function is no longer convex function. Can anyone elaborate on this explanation further? Does adding L3 term with the log-likelihood also make the cost function non-convex? I tried asking this Google and ChatGPT, and ChatGPT says that the logistic regression model still remains convex: In logistic regression, the objective function is typically a log-likelihood function that is maximized or, equivalently, a negative log-likelihood function that is minimized. When regularization is added, the regularization term is added to the negative log-likelihood to create the regularized objective function. The addition of L3 regularization does not introduce non-convexity. The convexity of the logistic regression model with L3 regularization can be proven mathematically by analyzing the Hessian matrix of the objective function. The Hessian matrix is positive semi-definite, which confirms convexity. So, even with the inclusion of an L3 regularization term, the logistic regression model remains convex, and convex optimization techniques can be used to find the optimal solution efficiently. submitted by /u/mayasang [link] [comments]
Short summary: Use LLMs to rank a given set of documents based on the likelihood of the question given the documents— shows comparable performance to fully-supervised retrieval systems. Arxiv: https://arxiv.org/abs/2205.12650 Github: https://github.com/mukhal/PromptRank submitted by /u/moyle [link] [comments]
I keep reading about open source LLMs that is on par with ChatGPT and GPT-4 but when i try them i find them far away from OpenAI's models. The best metric i found aligning with my findings was the ELO Rating by lmsys (the authors of Vicuna). What other metrics are used to truly evaluate LLMs and give us authentic numbers about their capabilities ? submitted by /u/MohamedRashad [link] [comments]
Text-to-image generation is a task in which a machine learning (ML) model generates an image from a textual description. The goal is to generate an image that closely matches the description, capturing the details and nuances of the text. This task is challenging because it requires the model to understand the semantics and syntax of
One of the most common applications of generative AI and large language models (LLMs) in an enterprise environment is answering questions based on the enterprise’s knowledge corpus. Amazon Lex provides the framework for building AI based chatbots. Pre-trained foundation models (FMs) perform well at natural language understanding (NLU) tasks such summarization, text generation and question
Amazon Kendra is a highly accurate and intelligent search service that enables users to search unstructured and structured data using natural language processing (NLP) and advanced search algorithms. With Amazon Kendra, you can find relevant answers to your questions quickly, without sifting through documents. However, just enabling end-users to get the answers to their queries
This post was co-authored by Brian Curry (Founder and Head of Products at OCX Cognition) and Sandhya MN (Data Science Lead at InfoGain) OCX Cognition is a San Francisco Bay Area-based startup, offering a commercial B2B software as a service (SaaS) product called Spectrum AI. Spectrum AI is a predictive (generative) CX analytics platform for
Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. IDP offers a significant improvement over manual methods and legacy optical character recognition (OCR) systems by addressing challenges such as cost, errors, low accuracy, and limited scalability, ultimately leading to better outcomes for
In this three-part series, we present a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. This solution rides on a more significant global wave of increasing mortgage fraud, which is worsening as more people present
Today we are excited to announce that you can now perform batch transforms with Amazon SageMaker JumpStart large language models (LLMs) for Text2Text Generation. Batch transforms are useful in situations where the responses don’t need to be real time and therefore you can do inference in batch for large datasets in bulk. For batch transform,
Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. Valuable data in organizations is stored in both structured and unstructured repositories. An enterprise search solution should
This is a guest blog post co-written with Vik Pant and Kyle Bassett from PwC. With organizations increasingly investing in machine learning (ML), ML adoption has become an integral part of business transformation strategies. A recent PwC CEO survey unveiled that 84% of Canadian CEOs agree that artificial intelligence (AI) will significantly change their business
The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of virtually infinite compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are rapidly adopting and using ML technologies to transform their businesses. Just recently, generative AI applications have
Generative AI is in the midst of a period of stunning growth. Increasingly capable foundation models are being released continuously, with large language models (LLMs) being one of the most visible model classes. LLMs are models composed of billions of parameters trained on extensive corpora of text, up to hundreds of billions or even a
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]
Vision loss comes in various forms. For some, it’s from birth, for others, it’s a slow descent over time which comes with many expiration dates: The day you can’t see pictures, recognize yourself, or loved ones faces or even read your mail. In our previous blogpost Enable the Visually Impaired to Hear Documents using Amazon
Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. Valuable data in organizations is stored in both structured and unstructured repositories. Amazon Kendra can pull together
AWS delivers services that meet customers’ artificial intelligence (AI) and machine learning (ML) needs with services ranging from custom hardware like AWS Trainium and AWS Inferentia to generative AI foundation models (FMs) on Amazon Bedrock. In February 2022, AWS and Hugging Face announced a collaboration to make generative AI more accessible and cost efficient. Generative
This post is co-written with Thatcher Thornberry from bpx energy. Facies classification is the process of segmenting lithologic formations from geologic data at the wellbore location. During drilling, wireline logs are obtained, which have depth-dependent geologic information. Geologists are deployed to analyze this log data and determine depth ranges for potential facies of interest from
Today we are excited to announce that Together Computer’s GPT-NeoXT-Chat-Base-20B language foundation model is available for customers using Amazon SageMaker JumpStart. GPT-NeoXT-Chat-Base-20B is an open-source model to build conversational bots. You can easily try out this model and use it with JumpStart. JumpStart is the machine learning (ML) hub of Amazon SageMaker that provides access
This is a guest post co-authored by Nafi Ahmet Turgut, Mutlu Polatcan, Pınar Baki, Mehmet İkbal Özmen, Hasan Burak Yel, and Hamza Akyıldız from Getir. Getir is the pioneer of ultrafast grocery delivery. The tech company has revolutionized last-mile delivery with its “groceries in minutes” delivery proposition. Getir was founded in 2015 and operates in
Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. To make it simpler to evaluate the capabilities of Amazon Textract, we have launched a new Bulk Document Uploader feature on the Amazon Textract console that enables you to quickly process your own set of
Amazon SageMaker comes with two options to spin up fully managed notebooks for exploring data and building machine learning (ML) models. The first option is fast start, collaborative notebooks accessible within Amazon SageMaker Studio—a fully integrated development environment (IDE) for machine learning. You can quickly launch notebooks in Studio, easily dial up or down the
Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization. Keywords or natural language questions can be
Biden delivers Memorial Day address Washington PostDonald Trump Marks Memorial Day With Unhinged, All-Caps Rant Yahoo NewsWatch Live: President Biden marks Memorial Day at Arlington National Cemetery | Face the Nation Face the NationTrump compares his sacrifices to fallen troops in Memorial Day rant New York Post President Biden at Arlington National Cemetery on Memorial Day C-SPANView Full Coverage on Google News
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US war hero's remains returned home after 73 years BBCMedal of Honor recipient's remains to be buried in Georgia after being identified 73 years later NBC NewsThe remains of a Medal of Honor recipient killed in the Korean War will be buried in Georgia today CNNGeorgia Medal of Honor recipient's family believed he would never be found; now his remains are home Fox NewsWorld War II soldier who died in Germany to be interred at Killeen veterans cemetery The Killeen Daily HeraldView Full Coverage on Google News
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Polish president signs 'Tusk Law' on undue Russian influence ReutersPoland's president approves law on Russia's influence that could target opposition Yahoo NewsPolitical uproar in Poland after Duda signs Kremlin commission law POLITICO EuropePoland's president approves law on Russia's influence that could target opposition The Associated PressPoland's Duda approves controversial Russian influence bill DW (English)View Full Coverage on Google News
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Russia attacks Ukraine with 140 missiles and drones The Globe and MailUkraine war: General Kyrylo Budanov promises revenge after latest Kyiv attack BBCRussia-Ukraine live news: Kyiv shoots down Russian missiles Al Jazeera EnglishLatest air campaign is the norm for some Ukrainians in Kyiv CTV NewsRussia strikes Kyiv in daylight after hitting Ukrainian capital with a more common nighttime barrage CP24
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No confirmed fatalities after Iowa apartment building collapse The Guardian USIowa apartment building partially collapses, prompting massive rescue effort Fox NewsSearch for survivors underway in Iowa apartment building collapse TODAYAir Ambulance lands at site of building collapse in downtown Davenport Quad-City Times1 person rescued overnight as crews race to find anyone who may be trapped after an apartment building’s partial collapse in Davenport, Iowa CNNView Full Coverage on Google News
Japan has put its ballistic missile defences on alert and vowed to shoot down any projectile that threatened its territory after North…Continue reading on Medium »
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Tom Sandoval On Phone with Raquel Leviss During Flight to Pittsburgh TMZAriana Madix & Katie Maloney On Returning To ‘Vanderpump Rules’ Season 11 If Tom Sandoval & Raquel Leviss Come Back DeadlineTom Sandoval seen talking on phone with Raquel Leviss after breakup news: report Page SixAriana Madix Cashing in on 'Scandoval,' Possibly Making $200K Per Deal TMZSee Vanderpump Rules stars Ariana Madix and Katie Maloney’s sandwich shop in new photos ahead of imminent o... The US SunView Full Coverage on Google News
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Putin congratulates 'dear friend' Erdogan as NATO's Turkey challenge looks set to stay CNBCRecep Tayyip Erdogan has once again won Turkey's presidential election NBC NewsErdogan seals Turkey election win ReutersOpinion: Unsure about the future, Turks voted for certainty DW (English)Turkey's Erdogan Should Steer More Pragmatic Post-Election Course BloombergView Full Coverage on Google News
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'Succession' Series Finale Recap: The Dotted Line The New York Times'Succession' finale: Waystar Royco has a new CEO. Here's what happened Los Angeles Times'Succession' Was a Race to the Bottom, and Everybody Won TIMEOpinion | 'Succession' Nailed the Unreal Way We Live Now The New York TimesSuccession finale review: A breathtaking, hellish climax DexertoView Full Coverage on Google News
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Traders Ready to Embrace Riskier Assets After Debt-Cap Deal Yahoo FinancePremarket: World markets mostly higher after Biden-McCarthy deal on U.S. debt The Globe and MailAsian stocks rise on US debt ceiling deal Financial TimesDollar nudges lower as U.S. debt ceiling deal dents safe-haven appeal Financial PostUSD/CAD rebounds from 1.3600 as US White House reaches bipartisan with Republicans FXStreet
Fans react to end of 'Succession' CTV NewsSuccession ends where it started: with scheming Roy family getting triple-played CBC NewsSuccession finale review – a perfect, terrible goodbye The Guardian‘Succession’ finale explained: Logan won again in the end Toronto Star'Succession' finale: Waystar Royco has a new CEO. Here's what happened Los Angeles Times
Gold: Debt-Ceiling Deal Is Done - Here's Why A Recession And Stock-Market Drop May Follow Seeking AlphaWhy Spending Cuts Likely Won't Shake the Economy The New York TimesDebt Deal to Hit a US Economy Already Facing Recession Risk Yahoo FinanceAustan Goolsbee says debt ceiling deal coming in the 11th hour is a "little dangerous" Face the NationGlobal Economy Latest: Debt Limit Crisis Averted BloombergView Full Coverage on Google News
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CTV National News | Sunday, May 28, 2023: Alberta election, Deadly police standoff in Ontario CTV News5 things to know today: Alberta’s election day CTV News
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NASA's SLS rocket is $6 billion over budget and six years behind schedule EngadgetThe Insane Amount NASA Is Spending Finally Revealed Giant Freakin RobotAudit: NASA’s SLS Rocket Is $6 Billion over Budget, 6 Years Behind Schedule BreitbartNASA's Mega Moon Rocket Is $6 Billion Over Budget: Report GizmodoNASA's SLS Spending Spree Could Jeopardize Its Return To The Moon: Report JalopnikView Full Coverage on Google News
In a Venice canal, police investigate mysteriously green waters NPRWater in Venice's Grand Canal Turns Green #shorts | VOA News Voice of AmericaStretch of Venice's Grand Canal mysteriously turns phosphorescent green CBS NewsVenetian Grand Canal turns green: Police are investigation who is responsible | AJ #Shorts Al Jazeera EnglishPrank? Natural Phenomenon? Canal Glows Bright Green - Videos from The Weather Channel The Weather ChannelView Full Coverage on Google News
MBR Explorer: UAE Plans Space Mission to Explore Asteroid Belt The New York TimesUAE to land a probe on an asteroid between Mars and Jupiter in 2034 Space.comMBR Explorer: UAE unveils details of its mission to the main asteroid belt The National'MBR Explorer': Sheikh Mohammed announces new space mission to explore asteroid belt in 2034 Khaleej TimesUAE launches new asteroid belt exploration mission: A 13-year quest in space Gulf NewsView Full Coverage on Google News
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Horoscope for Monday, May 29, 2023 Toronto StarYour daily horoscope: May 29 The Globe and MailDaily Horoscope - Monday, May 29, 2023 National PostYour Horoscope This Week: May 28 to June 3, 2023 msnNOWTarot Card Reading Horoscope for the Week of May 29, 2023 Cosmopolitan
Maine researchers, patients help shed new light on mysteries of long COVID Press HeraldA Lifetime of Long-COVID: Some people never got rid of the symptoms WJXT News4JAX Politicians want people with Long Covid to work. Is it another cull of the sick? Vox PoliticalWhat are the most common long Covid-19 symptoms? KTSM 9 NEWSStudy narrows long COVID’s 200+ symptoms to core list of 12 Ars TechnicaView Full Coverage on Google News
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– Various topics and subjects including General Knowledge quiz, Animals Quiz, Anatomy quiz, Arts quiz, Biology quiz, Medicine quiz, Celebrities quiz, Economics quiz, Entertainment quiz, Books quiz, Comics quiz, Entertainment quiz, Films (Movies) quiz, Netflix quiz, Music quiz, Video Games quiz, Geography quiz, Government quiz, History (Europe) quiz, Politics quiz, US History quiz, History (World) quiz, Marketing quiz, Politics quiz, Psychology quiz, Computers Science quiz, Computers quiz, Cloud Computing quiz(AWS, Azure, Google Cloud), Data Science quiz, Data Analytics quiz, Gadgets quiz, Machine Learning quiz, Mathematics (Math) quiz, SAT Math quiz, ML NLP quiz, Mythologies quiz, Nature quiz, Sports quiz, Soccer quiz, Cricket quiz, Football quiz, Vehicles quiz, US History quiz, US Geography quiz, European History quiz, World History quiz, Neuroscience quiz, Gadgets quiz, Politics quiz, and more….
QUIZ AND TRIVIA AND BRAIN TEASERS for all subjects
Read Aloud For Me – Multilingual – Speech Synthesizer – Read and Translate for me without tracking me
If you’re looking for a safe and secure way to have text read aloud to you in your chosen language, look no further than the Read Aloud For Me app. This app uses cutting-edge speech synthesis technology to translate text into speech, without tracking you or collecting your data. You can also use the app to translate text into your chosen language, making it a great tool for international communication. The Read Aloud For Me app is perfect for students, professionals, or anyone who wants to make their life a little easier. Download it today and start enjoying the benefits of hands-free text-to-speech translation.
Read Aloud For Me is an Application of Machine Learning, Natural Language Processing, Computer Vision to help everyone read text, pdf photos, documents, translate and synthesize speech in their preferred language securely and without being tracked.
– Synthesize Speech
– Read Text for you in your preferred language,
– read text for you in your preferred language,
– Translate Text for you in your chosen language
Description: Read Aloud For Me in my chosen language
Read Aloud for Me is the perfect app for anyone who wants to hear their text, documents, or images read aloud without any ads or data tracking. This app uses secure speech synthesis to read your chosen language aloud, allowing you to easily follow along and understand what you’re reading. You can also use the built-in translator to translate text into your chosen language without worrying about your data being collected. Whether you’re trying to learn a new language or just want an easy way to read text aloud, Read Aloud for Me is the perfect solution! Read, Translate Text, Images, Photos, Documents to Speech in your chosen language leveraging Machine Learning, Natural Language Processing, Computer Vision – Synthesize Speech – Read Text for you in your preferred language, – read text for you in your preferred language, – Translate Text for you in your chosen language
[appbox appstore 1598647453-iphone screenshots]
This application helps the visually impaired to read text, documents, photos in their language of choice without being tracked and without their content being tracked. [appbox googleplay com.readaloudforme.app]
Detailed Description:Read Aloud For Me Multilingual App including: – Speech Synthesizer, – Can Read Text From Photos/Images, – Can Translate Text and Documents in your chosen language
Read, Translate Text, Images, Photos, Documents to Speech in your chosen language leveraging Machine Learning, Natural Language Processing, Computer Vision
This App can: – Read Text for you in your preferred language, – read text for you in your preferred language, – Read Text from Photo or Images for you in your chosen language – Translate Text and Documents for you in your chosen language
This is an application which helps the visually impaired hear text. With the help of AI services such as Google AutoML, Amazon Textract, Amazon Comprehend, Amazon Translate and Amazon Polly.
Users enter text or upload a picture of a document, or anything with text, and within a few seconds hear that document in their chosen language.
Can read text, photos and documents in the following languages:
Afrikaans, Afrikaans, af
Albanian, Shqip, sq
Arabic,عربي, ar
Armenian, Հայերէն, hy
Azerbaijani, آذربایجان دیلی, az
Basque, Euskara, eu
Belarusian, Беларуская, be
Bulgarian, Български, bg
Catalan, Català, ca
Chinese (Simplified), 中文简体, zh-CN
Chinese (Traditional), 中文繁體, zh-TW
Croatian, Hrvatski, hr
Czech, Čeština, cs
Danish, Dansk, da
Dutch, Nederlands, nl
English, English, en
Estonian, Eesti keel, et
Filipino, Filipino, tl
Finnish, Suomi, fi
French, Français, fr
Galician, Galego, gl
Georgian, ქართული, ka
German, Deutsch, de
Greek, Ελληνικά, el
Haitian Creole, Kreyòl ayisyen, ht
Hebrew, עברית, iw
Hindi, हिन्दी, hi
Hungarian, Magyar, hu
Icelandic, Íslenska, is
Indonesian, Bahasa Indonesia,id
Irish, Gaeilge, ga
Italian, Italiano, it
Japanese, 日本語 , ja
Korean, 한국어, ko
Latvian, Latviešu, lv
Lithuanian, Lietuvių kalba, lt
Macedonian, Македонски, mk
Malay, Malay, ms
Maltese, Malti, mt
Norwegian, Norsk, no
Persian, فارسی, fa
Polish, Polski, pl
Portuguese, Português, pt
Romanian, Română, ro
Russian, Русский, ru
Serbian, Српски, sr
Slovak, Slovenčina, sk
Slovenian, Slovensko, sl
Spanish, Español, es
Swahili, Kiswahili, sw
Swedish, Svenska, sv
Thai, ไทย, th
Turkish, Türkçe, tr
Ukrainian, Українська, uk
Urdu, اردو, ur
Vietnamese, Tiếng Việt, vi
Welsh, Cymraeg, cy
Yiddish, ייִדיש, yi
Zulu, zu
Security: Open source, your data is not stored, you are not tracked
This Application Read aloud For You without tracking you.
This Application translate for you without tracking you
This application Read and analyze Photos for you without keeping your data
Secure Application of Machine Learning, Natural Language Processing, Computer Vision
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