November 2024
Intermediate to advanced
306 pages
7h 57m
English
Content preview from Apache Spark for Machine Learning
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1
An Overview of Machine Learning Concepts
This chapter provides a comprehensive introduction to the integration of machine learning within the Apache Spark ecosystem. It begins by elucidating fundamental machine learning principles, such as supervised, unsupervised, and reinforcement learning, and their relevance to Spark’s distributed computing paradigm. You will gain insights into its rich set of algorithms for classification, regression, clustering, and recommendation tasks. Furthermore, the chapter elucidates why Spark is used for machine learning, examining its use cases and benefits. It will also help you to set up Apache Spark on a local machine.
We will cover the following topics in this chapter:
- Understanding machine learning
- An introduction ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.