Deisenroth, Marc Peter, <br/><br/>
Mathematics for machine learning / 
Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong. 
 - pages cm 
<br/><br/>Introduction and motivation (Page-1), Linear algebra (Page-8),Analytic geometry (Page-57), Matrix decompositions  (Page-82),Vector calculus (Page-120), Probability and distribution (Page-152),Continuous optimization  (Page-201),When models meet data  (Page-225),Linear regression (Page-260), Dimensionality reduction with principal component analysis (Page-286),  Density estimation with Gaussian mixture models  (Page-314),Classification with support vector machines. (Page-335). 
<br/><br/><label>ISBN: </label>9781108470049 9781108455145 
<br/><br/><label>LCCN: </label>2019040762 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Machine learning--Mathematics.
<br/><br/><label>LC Class. No.: </label>Q325.5  / .D45 2020 
<br/><br/><label>Dewey Class. No.: </label>006.31, DEI