August 2015
Intermediate to advanced
320 pages
7h 25m
English
book
Predictive Analytics with Microsoft Azure Machine Learning, Second Edition
by Roger Barga, Valentine Fontama, Wee Hyong Tok
Content preview from Predictive Analytics with Microsoft Azure Machine Learning, Second Edition
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CHAPTER 6
Introduction to Statistical and Machine Learning Algorithms
This chapter will serve as a reference for some of the most commonly used algorithms in Microsoft Azure Machine Learning. We will provide a brief introduction to algorithms such as linear regression, k-means for clustering, decision trees, boosted decision trees, neural networks, support vector machines, and Bayes point machines.
This chapter will provide a good foundation and reference material for some of the algorithms you will encounter in the rest of the book. We group these algorithms into the following categories:
- Regression
- Classification
- Clustering
Regression Algorithms ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.