This book is a very good introduction to machine learning for undergraduate students and practitioners. It differs from other textbooks in its original coverage of the philosophical aspects of inference and their relationship to machine learning theory. This will allow readers to develop a better understanding of generalization problems and learning algorithms. Professor Vladimir Vapnik, Columbia University. University of Minnesota, Minneapolis MN, USA.

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