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Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
book

Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R

by V Kishore Ayyadevara
June 2018
Intermediate to advanced content levelIntermediate to advanced
379 pages
7h 33m
English
Apress
Content preview from Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
© V Kishore Ayyadevara 2018
V Kishore AyyadevaraPro Machine Learning Algorithms https://doi.org/10.1007/978-1-4842-3564-5_12

12. Principal Component Analysis

V Kishore Ayyadevara1 
(1)
Hyderabad, Andhra Pradesh, India
 

Regression typically works best when the ratio of number of data points to number of variables is high. However, in some scenarios, such as clinical trials, the number of data points is limited (given the difficulty in collecting samples from many individuals), and the amount of information collected is high (think of how much information labs give us based on small samples of collected blood).

In these cases, where the ratio of data points to variables is low, one faces difficulty in using the traditional techniques for the following ...
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ISBN: 9781484235645Purchase LinkPublisher Website