based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)
book chapters
1) Intro to Machine Learning 2) Example end-to-end Machine Learning project (California Housing dataset) 3) Basic Classification 4) Training Techniques 5) Support Vector Machines 6) Decision Trees 7) Ensemble Learning & Random Forests 8) Dimensionality Reduction 9) TensorFlow Installation & Checkout 10) TensorFlow & Neural Nets 11) TensorFlow Training 12) TensorFlow on Distributed Hardware 13) Convolutional Neural Nets 14) Recurrent Neural Nets 15) Autoencoders 16) Reinforcement Learning