[PDF.cp86] Foundations of Machine Learning (Adaptive Computation and Machine Learning series)
Foundations of Machine Learning Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar epub Foundations of Machine Learning Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar pdf download Foundations of Machine Learning Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar pdf file Foundations of Machine Learning Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar audiobook Foundations of Machine Learning Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar book review Foundations of Machine Learning Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar summary
| #311051 in Books | The MIT Press | 2012-08-17 | Original language:English | PDF # 1 | 9.00 x.81 x7.00l,2.42 | File type: PDF | 432 pages | ||9 of 11 people found the following review helpful.| Excellent book that everyone should learn from|By MR Brain|The best book on machine learning theory. This book is extremely clear and is a must-have for any serious machine learning or statistical learning scholar. As the title suggests, this book builds the foundations of machine learning, which are omitted in every other machine learning text book that I've read. This book w|||A solid, comprehensive, and self-contained book providing a uniform treatment of a very broad collection of machine learning algorithms and problems. Foundations of Machine Learning is an essential reference book for corporate and academic researchers
This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical underpinnings of these algorithms, and illustrates key aspects for their application. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning fills the need for a general textbook that also...
You can specify the type of files you want, for your gadget.Foundations of Machine Learning (Adaptive Computation and Machine Learning series) | Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar. Just read it with an open mind because none of us really know.
