Numerical Recipes 3rd Edition: The Art of Scientific Computing7 reviews William H. Press, Saul A. Teukolsky, ... Cambridge University Press, 2007 Essential book on scientific computing + Continues to improve + Quickly switching your matlab routines to cpp + The perfect book             Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data ...25 reviews Ian H. Witten, Eibe Frank Morgan Kaufmann, 2005 Thorough, well-written, and crystal-clear explanations. + Awesome Highly recommend this book for a practical introduction to the theory and applications of Machine Learning. Great book if you are looking to ACTUALLY implement some machine learning systems, prefer to learn via diagrams, a "how-stuff-works"-style explanation, and skip much of the equations and ...             Information Theory, Inference & Learning Algorithms8 reviews David J. C. MacKay Cambridge University Press, 2002 A must have... + pretty much indispensible + Outstanding book, especially for statisticians + Great wish it had more n option inverse problems + Great Book As Far As It Goes             Linear Algebra and Its Applications72 reviews Gilbert Strang Brooks Cole, 2005 Wow...more than I ever wanted to know! + Still the clearest text on Linear Algebra + A Review of the 2nd Edition + Sort of Confusing At Times But A Good Book + Good to buy only if your instructor follows it or if your have firmly determined to master linear algebra.             Introduction to Machine Learning (Adaptive Computation and Machine Learning)7 reviews Ethem Alpaydin The MIT Press, 2004 Great Introduction + Very good book + Good overview of the field + Superb Organization of Ideas! + Great Machine Learning Overview Book             Mining the Web: Discovering Knowledge from Hypertext Data9 reviews Soumen Chakrabarti Morgan Kaufmann, 2002 The best general purpose book on the subject I've seen + comprehensive web mining book though 326 pages + Great coverage, but quite a few errors + Readable, approachable, informative             Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)(3rd Edition)26 reviews Gene H. Golub, Charles F. Van Loan The Johns Hopkins University Press, 1996 The bible of numerical linear algebra + Matrix Computations is an excellent guide to understanding and implementing Numerical Linear Algebra + bible + Exactly what I needed             Super Crunchers: Why Thinking-by-Numbers Is the New Way to Be Smart71 reviews Ian Ayres Bantam, 2007 The End of Intuition The author explains that he originally intended to title the book, "The End of Intuition". I think that would have been the better title. Interestingly, the name change resulted in a clever use of Google's adwords. The problem with the title Super Crunchers is that it makes the impression that the ...             Machine Learning (Mcgraw-Hill International Edit)34 reviews Thomas Mitchell McGraw Hill Higher Education, 1997 Good presentation of concepts + Please bow down to Tom Mitchell + Excellent Book, but for Academia Only + Outstanding + Great Start to Machine Learning             Pattern Classification (2nd Edition)26 reviews Richard O. Duda, Peter E. Hart, ... Wiley-Interscience, 2000 excellent revision of a classical text on statistical pattern recognition + Great product & service The 1973 book by Duda and Hart was a classic. It surveyed the literature on pattern classification and scene analysis and provided the practitioner with wonderful insight and exposition of the subject. In the intervening 28 years the field has exploded and there has been an enormous increase in ...             The Elements of Statistical Learning27 reviews T. Hastie, R. Tibshirani, ... Springer, 2003 data mining from the viewpoint of statisticians + Good Book! + Excellent technical and conceptual overview + elements of statistical learning + Great statistics book.             Programming Collective Intelligence: Building Smart Web 2.0 Applications34 reviews Toby Segaran O'Reilly Media, Inc., 2007 Great, simple presentation of some powerful techniques + An Eye Openning Inspiring Book + Wow + Good intro to machine learning             Pattern Recognition and Machine Learning (Information Science and Statistics)41 reviews Christopher M. Bishop Springer, 2007 Probably the best book for machine learning + Authorative text + Awesome I am a PhD student in machine learning. Bishop is really gifted and he explains very well basic and advanced concepts of machine learning. I would say that this book is much more comprehensive than Hastie's Statistical learning book The Elements of Statistical Learning. Very good illustrations and ...             Neural Networks for Pattern Recognition20 reviews Christopher M. Bishop Oxford University Press, USA, 1996 Sheer pleasure. + Only for an expert + Fabulous + It makes a difficult topic easy to understand + Recomended book to read             Pattern Classification (2nd Edition)26 reviews Richard O. Duda, Peter E. Hart, ... Wiley-Interscience, 2000 excellent revision of a classical text on statistical pattern recognition + Great product & service The 1973 book by Duda and Hart was a classic. It surveyed the literature on pattern classification and scene analysis and provided the practitioner with wonderful insight and exposition of the subject. In the intervening 28 years the field has exploded and there has been an enormous increase in ...             Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data ...25 reviews Ian H. Witten, Eibe Frank Morgan Kaufmann, 2005 Thorough, well-written, and crystal-clear explanations. + Awesome Highly recommend this book for a practical introduction to the theory and applications of Machine Learning. Great book if you are looking to ACTUALLY implement some machine learning systems, prefer to learn via diagrams, a "how-stuff-works"-style explanation, and skip much of the equations and ...             Numerical Recipes 3rd Edition: The Art of Scientific Computing7 reviews William H. Press, Saul A. Teukolsky, ... Cambridge University Press, 2007 Essential book on scientific computing + Continues to improve + Quickly switching your matlab routines to cpp + The perfect book             Neural Networks for Pattern Recognition20 reviews Christopher M. Bishop Oxford University Press, USA, 1996 Sheer pleasure. + Only for an expert + Fabulous + It makes a difficult topic easy to understand + Recomended book to read             Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)(3rd Edition)26 reviews Gene H. Golub, Charles F. Van Loan The Johns Hopkins University Press, 1996 The bible of numerical linear algebra + Matrix Computations is an excellent guide to understanding and implementing Numerical Linear Algebra + bible + Exactly what I needed             Pattern Recognition and Machine Learning (Information Science and Statistics)41 reviews Christopher M. Bishop Springer, 2007 Probably the best book for machine learning + Authorative text + Awesome I am a PhD student in machine learning. Bishop is really gifted and he explains very well basic and advanced concepts of machine learning. I would say that this book is much more comprehensive than Hastie's Statistical learning book The Elements of Statistical Learning. Very good illustrations and ...