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Machine Learning: End-to-End guide for Java developers

You're reading from   Machine Learning: End-to-End guide for Java developers Data Analysis, Machine Learning, and Neural Networks simplified

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Product type Course
Published in Oct 2017
Publisher Packt
ISBN-13 9781788622219
Length 1159 pages
Edition 1st Edition
Languages
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Authors (2):
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Krishna Choppella Krishna Choppella
Author Profile Icon Krishna Choppella
Krishna Choppella
Uday Kamath Uday Kamath
Author Profile Icon Uday Kamath
Uday Kamath
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Toc

Chapter 1. Applied Machine Learning Quick Start

This chapter introduces the basics of machine learning, laying down the common themes and concepts and making it easy to follow the logic and familiarize yourself with the topic. The goal is to quickly learn the step-by-step process of applied machine learning and grasp the main machine learning principles. In this chapter, we will cover the following topics:

  • Introducing machine learning and its relation to data science
  • Discussing the basic steps in applied machine learning
  • Discussing the kind of data we are dealing with and its importance
  • Discussing approaches of collecting and preprocessing the data
  • Making sense of data using machine learning
  • Using machine learning to extract insights from data and build predictors

If you are already familiar with machine learning and are eager to start coding, then quickly jump to the following chapters. However, if you need to refresh your memory or clarify some concepts, then it is strongly recommend...

You have been reading a chapter from
Machine Learning: End-to-End guide for Java developers
Published in: Oct 2017
Publisher: Packt
ISBN-13: 9781788622219
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