Includes index.

Giving Computers the Ability to Learn from Data -- Training Machine Learning Algorithms for classification -- A Tour of Machine Learning Classifiers Using Scikit-learn -- Building Good Training Sets -- Compressing Data via Dimensionality Reduction -- Learning Best Practices for Model Evaluation and Hyperparameter Tuning -- Combining Different Models for Ensemble Learning -- Applying Machine Learning to Sentiment Analysis -- Embedding a Machine Learning Model into a Web Application -- Predicting Continuous Target Variables with regression analysis -- Working with Unlabeled Data -- Implementing a Multilayer Artificial Neural Network from Scratch -- Parallelizing Neural Network Training with TensorFlow -- Going Deeper: The Mechanics of TensorFlow -- Classifying Images with Deep Convolutional Neural Networks -- Modeling Sequential Data using Recurrent Neural Networks.