Trappenberg, Thomas P., <br/><br/>
Fundamentals of machine learning / 
Thomas P. Trappenberg, Dalhousie University. 
 - First edition. 
 - xi, 247 p. :  ill. ;  25 cm. 
<br/><br/>Introduction (Page-1), Scientific programming with Python (Page-17), Machine Learning with sklearn (Page-38), Neural networks adn Keras (Page-66), Regression and optimization (Page-93), Basic probability theory (Page-121), Probabilistic regression and Bayes nets  (Page-141), Generative modedls (Page-162), Cyclic models and recurrent neural networks (Page-183), Reinforcement learning (Page-206), Artificail intelligence the brain and our society (Page-233). 
<br/><br/><label>ISBN: </label>9780198828044 0198828047 
<br/><br/><label>LCCN: </label>2019945424 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Machine learning.
<br/><br/><label>Dewey Class. No.: </label>006.31,TRA