Machine Learning - Hands-On for Developers (Wiley, 2015) (Size: 8.28 MB)
This book is about machine learning and not about Big Data. It’s about the various techniques used to gain insight from your data. By the end of the book, you will have seen how various methods of machine learning work, and you will also have had some practical explanations on how the code is put together,
leaving you with a good idea of how you could apply the right machine learning techniques to your own problems.
There’s no right or wrong way to use this book. You can start at the beginning and work your way through, or you can just dip in and out of the parts you need to know at the time you need to know them.
Chapter 1 What Is Machine Learning?
Chapter 2 Planning for Machine Learning
Chapter 3 Working with Decision Trees
Chapter 4 Bayesian Networks
Chapter 5 Artificial Neural Networks
Chapter 6 Association Rules Learning
Chapter 7 Support Vector Machines
Chapter 8 Clustering
Chapter 9 Machine Learning in Real Time with Spring XD
Chapter 10 Machine Learning as a Batch Process
Chapter 11 Apache Spark: A Hadoop Replacement?
Chapter 12 Machine Learning with R
Appendix A SpringXD Quick Start
Appendix B Hadoop 1.x Quick Start
Appendix C Useful Unix Commands
Appendix D Further Reading