Probably approximately correct software -- A quick introduction to machine learning -- K-nearest neighbors -- Naive Baye
673 28 8MB
English Pages (xii, 201 pages) : illustrations Year 2017
Table of contents :
Probably approximately correct software --
A quick introduction to machine learning --
K-nearest neighbors --
Naive Bayesian classification --
Decision trees and random forests --
Hidden Markov models --
Support vector machines --
Neural networks --
Clustering --
Improving models and data extraction --
Putting it together: conclusion.