Top Machine Learning Frameworks used by Data Scientists

What started out as a Google Summer of Code is now known as the swiss army knife in the ML world, as it applies to most projects. Based on the survey, it was the top ML framework used, with over 80% of data scientists using it. Developed by researchers and engineers working on the Google Brain team, TensorFlow is an end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications. It's also robust and can be easily trained and deployed in the cloud, in browsers, or even on-device in multiple languages. It is an optimized distributed gradient boosting library designed to be highly efficient, flexible, and portable.