Category Archives: Data Science News

Not all training data labeling errors have the same impact on the performance of the Machine Learning system. The structure of the labeling errors make a difference. Read iMerit’s latest blog to learn how to minimize the impact of labeling errors. Originally from KDnuggets https://ift.tt/3fITNXT source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-noisy-labels-impact-machine-learning-models

To encourage more high-quality and especially original contributions to KDnuggets, we will start KDnuggets Top Authors Reward program on May 1, 2021, where we will pay the authors of top 6 blogs published each month (starting in May), based on the number of unique page views and whether the blog was original. Originally from KDnuggetsContinue reading “KDnuggets Top Authors Reward Program”

Data Labeling Case Study — Cosmetics Brand Classification and Labeling Lipstick Effect There is a famous “lipstick effect” in economic theory, which refers to an interesting economic phenomenon that lipstick is sold hot due to economic depression, also known as “ small luxury items preference “. For example, in 2008, during the global financial crisis, the cosmetics industryContinue reading “Data Labeling Case StudyCosmetics Brand Classification and Labeling”

This is the cloud continuation of the previous article on deploying the Pytorch model with Okteto CLI and Flask API here is the link: https://python.plainenglish.io/deploy-pytorch-model-with-okteto-cli-d494d058216 In the previous article, we learnt how to deploy a text generation model built with PyTorch using Okteto CLI and in this article, we will learn how to build a textContinue reading “Deploy Rihanna lyric generation Model with Okteto Cloud”

How to Deploy AI models? Part 7- Deploying Web-application on Heroku via Docker This Part is the continuation of the Deploying AI models Part-3 , where we deployed Iris classification model using Decision Tree Classifier. You can skip the training part if you have read the Part-3 of this series. In this article, we will use FlaskContinue reading “How to Deploy AI models? Part 7- Deploying Web-application on Heroku via Docker”

How can you — an awesome Data Scientist — also be known as an awesome software engineer? Docker. And these 3 simple steps to use it for your solutions over and over again. Originally from KDnuggets https://ift.tt/39P6zQR source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-dockerize-any-machine-learning-application

Learn how EvalML leverages Woodwork, Featuretools and the nlp-primitives library to process text data and create a machine learning model that can detect spam text messages. Originally from KDnuggets https://ift.tt/3cQMBXN source https://365datascience.weebly.com/the-best-data-science-blog-2020/automated-text-classification-with-evalml

Also: The 8 Most Common Data Scientists; Easy AutoML in Python; How to Succeed in Becoming a Freelance Data Scientist; The 8 Most Common Data Scientists Originally from KDnuggets https://ift.tt/3rTRaEO source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-stories-mar-29-apr-4-top-10-python-libraries-data-scientists-should-know-in-2021-shapash-making-machine-learning-models-understandable

Check out this curated list of useful frameworks and extensions for TensorFlow. Originally from KDnuggets https://ift.tt/3cQ68HO source https://365datascience.weebly.com/the-best-data-science-blog-2020/the-best-machine-learning-frameworks-extensions-for-tensorflow

Online learning has been there for years. Yet today, eLearning technology poses a real challenge to the traditional education models with more and more schools and universities turning to artificial intelligence solutions for education. Still, many educational institutions feel skeptical about adopting online learning tools. “A lack of in-person interaction sucks all the joy outContinue reading “Online Education Trends: Top 4 AI Applications for Distance and Blended Learning”