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Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist
book

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

by Thomas Mailund
March 2017
Beginner
352 pages
10h 24m
English
Apress
Content preview from Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

© Thomas Mailund 2017

Thomas Mailund, Beginning Data Science in R, 10.1007/978-1-4842-2671-1_6

6. Supervised Learning

Thomas Mailund1 

(1)Aarhus, Denmark

This chapter and the next concern the mathematical modeling of data that is the essential core of data science. We can call this statistics, or we can call it machine learning. At its core, it is the same thing. It is all about extracting information out of data.

Machine Learning

Machine learning is the discipline of developing and applying models and algorithms for learning from data. Traditional algorithms implement fixed rules for solving particular problems. Like sorting numbers or finding the shortest route between two cities. To develop algorithms like that, you need a deep understand of the ...

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Publisher Resources

ISBN: 9781484226711Purchase book