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Machine Learning : Algorithms and Applications (Hardcover) (Mohssen Mohammed & Muhammad Badruddin Khan &

Machine Learning : Algorithms and Applications (Hardcover) (Mohssen Mohammed & Muhammad Badruddin Khan & - image 1 of 1

About this item

For readers utterly new to machine learning, and for readers who know some theories in machine learning but do not know how to write their own algorithms, Muhammed, Khan, and Bashier first introduce supervised and then unsupervised machine learning methods. They implement the algorithms in MATLAB. Among their topics are decision trees, naive Bayesian classification, the k-nearest neighbors classifiers, linear discriminant analysis, Gaussian mixture model, and principal component analysis. Annotation ©2016 Ringgold, Inc., Portland, OR (protoview.com)
Number of Pages: 204
Genre: Computers + Internet, Mathematics
Sub-Genre: Applied, Arithmetic, Machine Theory
Format: Hardcover
Publisher: Taylor & Francis
Author: Mohssen Mohammed & Muhammad Badruddin Khan & Eihab Bashier Mohammed Bashier
Language: English
Street Date: July 26, 2016
TCIN: 51126974
UPC: 9781498705387
Item Number (DPCI): 248-15-7511
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