本书作者：Rajdeep Dua、Manpreet Singh Ghotra、 Nick Pentreath，由Packt出版社于2017年04月出版，全书共532页。本书是2015年02月出版的Machine Learning with Spark的第二版。通过本书将学习到以下的知识：

• Get hands-on with the latest version of Spark ML
• Create your first Spark program with Scala and Python
• Set up and configure a development environment for Spark on your own computer, as well as on Amazon EC2
• Access public machine learning datasets and use Spark to load, process, clean, and transform data
• Use Spark's machine learning library to implement programs by utilizing well-known machine learning models
• Deal with large-scale text data, including feature extraction and using text data as input to your machine learning models
• Write Spark functions to evaluate the performance of your machine learning models

如果想及时了解Spark、Hadoop或者Hbase相关的文章，欢迎关注微信公共帐号：iteblog_hadoop

本书的章节

Chapter 1: Getting Up and Running with Spark
Chapter 2: Math for Machine Learning
Chapter 3: Designing a Machine Learning System
Chapter 4: Obtaining, Processing, and Preparing Data with Spark
Chapter 5: Building a Recommendation Engine with Spark
Chapter 6: Building a Classification Model with Spark
Chapter 7: Building a Regression Model with Spark
Chapter 8: Building a Clustering Model with Spark
Chapter 9: Dimensionality Reduction with Spark
Chapter 10: Advanced Text Processing with Spark
Chapter 11: Real-Time Machine Learning with Spark Streaming
Chapter 12: Pipeline APIs for Spark ML

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