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Chapter 01 A Taste of Machine
Chapter 02 Working with Data in OpenCV and Python
Chapter 03 First Steps in Supervised Learning
Chapter 04 Representing Data in Engineering Features
Chapter 05 Using Decision Trees to Make a Medical Diagnosis
Chapter 06 Detecting Pedestrians with Support Vector Machines
Chapter 07 Implementing a Spam Filter with Bayesian Learning
Chapter 08 Discovering Hidden Structures with Unsupervised Learning
Chapter 09 Using Deep Learning to Classify Handwritten Digits
Chapter 10 Combining Different Algorithms into an Ensemble
Chapter 11 Selecting the Right Model with Hyperparameter Tuning
Chapter 12 Wrapping Up
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