Marsland, Stephen <br/><br/>
Machine learning :  an algorithmic perspective / 
Stephen Marsland 
 - 2nd ed., 
 - Boca Raton  CRC Press  2015 
 - 437 p. 
 - Machine Learning & Patter Recognistion .
<br/><br/> This bestseller helps students understand the algorithms of machine learning. It puts them on a path toward mastering the relevant mathematics and statistics as well as the necessary programming and experimentation. Along with improved Python code, this second edition includes two new chapters on deep belief networks and Gaussian processes. It incorporates new material on the support vector machine, random forests, the perceptron convergence theorem, filters and more. All of the code is available on the author’s website. 
<br/><br/><label>ISBN: </label>9781138583405 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Machine learning<br/>Algorithms
<br/><br/><label>Dewey Class. No.: </label>006.31 MAR-S