There has been a lot of amazing work done in machine learning, as well as interesting datasets released in April and May of 2020. In this article, we will go over some of the biggest AI news, research papers, and open datasets from some of the world's largest tech companies, including Microsoft, Facebook, Google, and Uber. Whether you consider yourself a data science beginner, intermediate, or expert, there is interesting information to be learned from the articles below, regardless of your skill level. From the Google AI Blog, researchers introduce Big Transfer (BiT): General Visual Representation Learning, a new approach for pre-training on image datasets at scale. The model and datasets have been open sourced and there are download links within the article.

As always, the fields of deep learning and natural language processing are as busy as ever. Despite many industries being hindered by the quarantine restrictions in many countries, the machine learning industry continues to move forward. It seems almost every week, new models are being released, and new startups are showing off AI-powered technologies that will help build a better world. In this article, we will briefly go over some of the biggest recent news in NLP and deep learning, as well as some must-read guides, feature articles, tools, resources, and datasets you may want to check out. From Nikunj Aggarwal, the Machine Learning Lead at Citizen, this article gives us a great example of how deep learning is being used to create life-changing (or life-saving) technologies.

It explains how they are used in computer vision and NLP and the fundamental differences between the two types of artificial neural networks.

From machine learning basics articles to interesting ML news and academic papers, this list has something for both beginners and those more well-versed in the field. The articles below should help strengthen your knowledge of basic AI concepts and keep you up to date on trending AI topics. AI Terms Every Beginner Should Know - This article on Towards Data Science introduces and explains 14 abbreviations commonly used in the field of machine learning. From broad AI concepts to specific types of neural networks and specialized fields, this article contains concise explanations, helpful visual aids and links to more detailed explanations of each term. The Difference Between AI, ML, and DL - Artificial intelligence and machine learning are terms often used interchangeably.