The book written by Andrew Webb is certainly the most comprehensive book related to machine learning. I have not been able to find any machine learning topic which is not treated in this book. According to me, this book is more for a scientific audience for the simplest reason that the presentation gives more importance to equations than to application examples. It does not explain how to program machine learning algorithm...
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I recently started study about Pattern Recognition. This book is so well organized. - Introduction to statistical pattern recognition- Basic approaches to supervised classification via Bayes' rule and estimation of the class-conditional densities.- Discriminant function approach to supervised classification.- Techniques of exploratory data analysis.- Additional topics on pattern recognition including performance assessment.Especially,...
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