Machine learning makes use of computer programs to discover meaningful patters in complex data. It is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the automated learning approach and the considerations underlying its usage. The authors explain the qhowsq and qwhysq of the most important machine-learning algorithms, as well as their inherent strengths and weaknesses, making the field accessible to students and practitioners in computer science, statistics, and engineering.From Theory to Algorithms Shai Shalev-Shwartz, Shai Ben-David. time is the main bottleneck. We therefore explicitly quantify both the amount of data and the amount of computation time needed to learn a given concept. ... Alon, to whom we are indebted for his help throughout the entire making of the book, has also prepared a solution manual. ... The members of the reading club are Maya Alroy, Yossi Arjevani, Aharon Birnbaum, Alon Cohen, Alon Gonen, Roi Livni, Ofer Meshi, Dananbsp;...
|Title||:||Understanding Machine Learning|
|Author||:||Shai Shalev-Shwartz, Shai Ben-David|
|Publisher||:||Cambridge University Press - 2014-05-19|