| These books focus on the hot topics of the past few years. I believe the sales volume will be good. Some small books are not recommended. These are all from Springer in, and there should be no authorization yet, but contact us for another two years. 1. The elements of Statistical Learning: Data Mining, inference, and prediction, Second Edition http://www.amazon.com/Elements-Statistical-Learning-Prediction-Statistics/dp/0387848576/ first of course this book. The first version has been photocopied and of good quality. The second version adds many things and still recommends photocopies. However, this should have been recommended by many people. 2. modern multivariate statistical techniques: regression, classification, and Manifold Learning http://www.amazon.com/Modern-Multivariate-Statistical-Techniques-Classification/dp/0387781889 since the first release of elements of statistical learning, more and more statistical scholars are concerned with some nontraditional, data processing methods from the computer field. This book is a traditional statistical discipline that deals with multivariate statistical analysis from such a new perspective. The photocopy must be printed in full color like the previous book. 3. Principles and theory for data mining and machine learning http://www.amazon.com/Principles-Machine-Learning-Springer-Statistics/dp/0387981349 similar topics, this is more theoretical. 4. Statistical Learning from a regression perspective http://www.amazon.com/Statistical-Learning-Regression-Perspective-Statistics/dp/0387775005 similar topics, this book is partial application. |
Another book: Pattern Recognition and machine learning (http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738) This may be more computer-oriented, do not know if the world map is interested. This book is also very beautiful!
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