Machine Learning: Hands-On for Developers and Technical Professionals (Paperback, 2)

Chapter 1: What is Machine Learning? 
Chapter 2: Planning for Machine Learning
Chapter 3: Data Acquisition Techniques 
Chapter 4: Revisiting Basic Statistics and Linear Regression 
Chapter 5: Working with Decision Trees 
Chapter 6: Clustering 
Chapter 7: Association Rules Learning
Chapter 8: Support Vector Machines 
Chapter 9: Artifical Neural Networks and Deep Learning 
Chapter 10: Machine Learning from Text Documents 
Chapter 11: Machine Learning from Image Information 
Chapter 12: Machine Learning from Streaming Data with Apache Kafka 
Chapter 13: Apache Spark and MLLib 
Chapter 14: Maching Learing with R 
Appx A: A Kafka Quick Start
Appx B: Spark 1.x Quick Start
Appx C: Useful Unix Commands 
Appx D: Further Reading