Machine Learning with Spark

Create scalable machine learning applications to power a modern data-driven business using Spark 2.x

Key Features

• Get to the grips with the latest version of Apache Spark
• Utilize Spark's machine learning library to implement predictive analytics
• Leverage Spark’s powerful tools to load, analyze, clean, and transform your data

Book Description

What you will learn

• 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

Who this book is for

If you have a basic knowledge of machine learning and want to implement various machine-learning concepts in the context of Spark ML, this book is for you. You should be well versed with the Scala and Python languages.