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Big Data Analytics Beyond Hadoop: Real-Time Applications with Storm, Spark, and More Hadoop Alternatives by Vijay Srinivas Agneeswaran Ph.D

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3. Realizing Machine Learning Algorithms with Spark

This chapter discusses the basics of machine learning (ML) first and introduces a few algorithms, such as random forest (RF), logistic regression (LR), and Support Vector Machines (SVMs). It then goes on to elaborate how ML algorithms can be built over Spark, with code sketches wherever appropriate.

Basics of Machine Learning

Machine learning (ML) is the term that refers to learning patterns in the data. In other words, ML can infer the pattern or nontrivial relationship between a set of observations and a desired response. ML has become quite common—for example, Amazon uses ML to recommend appropriate books (or other products) for users. These are a type of ML known as recommender systems. ...

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