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Machine Learning with Spark - Second Edition by Nick Pentreath, Manpreet Singh Ghotra, Rajdeep Dua

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What this book covers

Chapter 1, Getting Up and Running with Spark, shows how to install and set up a local development environment for the Spark framework, as well as how to create a Spark cluster in the cloud using Amazon EC2. The Spark programming model and API will be introduced and a simple Spark application will be created using Scala, Java, and Python.

Chapter 2, Math for Machine Learning, provides a mathematical introduction to machine learning. Understanding math and many of its techniques is important to get a good hold on the inner workings of the algorithms and to get the best results.

Chapter 3, Designing a Machine Learning System, presents an example of a real-world use case for a machine learning system. We will design a high-level ...

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