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Part 4: Additional tools - Pg. 267

Part 4 Additional tools his fourth and final part of Machine Learning in Action covers some additional tools that are commonly used in practice and can be applied to the material from the first three parts of the book. The tools cover dimensionality-reduction tech- niques, which you can use to preprocess the inputs before using any of the algo- rithms from the first three parts of this book. This part also covers map reduce, which is a technique for distributing jobs to thousands of machines. Dimensionality reduction is the task of reducing the number of inputs you have; this can reduce noise and improve the performance of machine learning T