Table of contents : Preface Chapter 1 - Machine Learning at a Glance Chapter 2 - Building an Image Classification App Chapter 3 - A Primer on Python and Jupiter Notebook Chapter 4 - Training Your Own Image Classifier Chapter 5 - Natural Language Processing Chapter 6 - Sound Classification Models Chapter 7 - Cloud-Based Machine Learning with Firebase Chapter 8 - Updatable ML Models for On-Device Training Chapter 9 - Action Classification and Style Transfer Chapter 10 - Supercharge ML Workflow with these Tips and Tricks