0. Hands on Machine Learning

The Fundamentals of Machine Learning

The Machine Learning Landscape

End-to-End Machine Learning Project

Classification

Training Models

Support Vector Machines

Decision Trees

Ensemble Learning and Random Forests

Dimensionality Reduction

Neural Networks and Deep Learning

Up and Running with TensorFlow

Introduction to Artificial Neural Networks

Training Deep Neural Nets

Distributing TensorFlow Across Devices and Servers

Convolutional Neural Networks

Recurrent Neural Networks

Autoencoders

Reinforcement Learning

Reference

1. Hands-On Machine Learning with Scikit-Learn and TensorFlow
2. Errata for Hands-On Machine Learning with Scikit-Learn and TensorFlow
3. GitHub: Hands-On Machine Learnging With Scikit-Learn and TensorFlow