Applied Machine Learning: The Less Confusing Guide

TensorFlow is a Python library for fast numerical computing that was designed specifically for machine learning. It was open-sourced by Google with the hope of putting deep learning capabilities in the hands of a lot more researchers and developers around the world. The official tutorials can be somewhat confusing to a beginner, I recommend starting with this series to get what the writer calls the gentlest introduction to Tensorflow. Once installed it provides multiple APIs for training ML models. The higher level APIs built on top of what is called the TensorFlow Core (the lowest level API with most control) are the easiest to learn and should be where you start. It's counterintuitive to include a full TensorFlow tutorial within this post when there already exists countless resources online that do it perfectly well... start with the official one: While TensorFlow is the most popular machine learning library, there're several great alternatives like Torch (used by Facebook), Caffe (deep learning framework by Berkeley AI Research) and many more.