What this book covers

Chapter 1, Practical Machine Learning with Spark Using Scala, covers installing and configuring a real-life development environment with machine learning and programming with Apache Spark. Using screenshots, it walks you through downloading, installing, and configuring Apache Spark and IntelliJ IDEA along with the necessary libraries that would reflect a developer’s desktop in a real-world setting. It then proceeds to identify and list over 40 data repositories with real-world data sets that can help the reader in experimenting and advancing even further with the code recipes. In the final step, we run our first ML program on Spark and then provide directions on how to add graphics to your machine learning programs, ...

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