Bishop Machine Learning

Pattern Recognition and Machine Learning (Repost)  eBooks & eLearning

Posted by leonardo78 at Aug. 2, 2017
Pattern Recognition and Machine Learning (Repost)

Pattern Recognition and Machine Learning by Christopher M. Bishop
Language: English | 2007 | ISBN: 0387310738 | 738 pages | PDF | 4,51 MB

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible.
"Pattern Recognition and Machine Learning: Solutions Exercises" by Christopher M. Bishop

"Pattern Recognition and Machine Learning: Solutions Exercises" by Christopher M. Bishop
Information Science and Statistics
Sрringеr Science+Business Media | 2006 | ISBN: 0387310732 0387310738 | 101 pages | PDF | 1 MB

Example solutions for a subset of the exercises are available from the book. This issue is supported by a great deal of additional material, and the reader is encouraged to visit the book web site for the latest information. A volume deals with practical aspects of pattern recognition and machine learning, and will include free software implementations of the key algorithms along with example data sets.

"Pattern Recognition and Machine Learning" by Christopher M. Bishop  eBooks & eLearning

Posted by exLib at Nov. 21, 2011
"Pattern Recognition and Machine Learning" by Christopher M. Bishop

"Pattern Recognition and Machine Learning" by Christopher M. Bishop
Information Science and Statistics
Sрringеr Science+Business Media | 2006 | ISBN: 0387310738 9780387310732 | 761 pages | PDF | 5 MB

This textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Pattern Recognition and Machine Learning (Repost)  eBooks & eLearning

Posted by foosaa at July 22, 2009
Pattern Recognition and Machine Learning (Repost)

Christopher M. Bishop, "Pattern Recognition and Machine Learning"
Springer | 2007 | ISBN: 0387310738 | English | 738 Pages | PDF | 9.5 MB

Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Practical Machine Learning Cookbook  eBooks & eLearning

Posted by First1 at Sept. 22, 2017
Practical Machine Learning Cookbook

Practical Machine Learning Cookbook by Atul Tripathi
English | April 14th, 2017 | ISBN: 1785280511, 9781785280511 | 559 pages | True PDF | 16.28 MB

Machine learning has become the new black. The challenge in today's world is the explosion of data from existing legacy data and incoming new structured and unstructured data. The complexity of discovering, understanding, performing analysis, and predicting outcomes on the data using machine learning algorithms is a challenge. This cookbook will help solve everyday challenges you face as a data scientist. The application of various data science techniques and on multiple data sets based on real-world challenges you face will help you appreciate a variety of techniques used in various situations.

Machine Learning Algorithms  eBooks & eLearning

Posted by readerXXI at Sept. 21, 2017
Machine Learning Algorithms

Machine Learning Algorithms
by Giuseppe Bonaccorso
English | 2017 | ISBN: 1785889621 | 352 Pages | True PDF | 10 MB

Mastering Machine Learning with R, Second Edition  eBooks & eLearning

Posted by First1 at Sept. 21, 2017
Mastering Machine Learning with R, Second Edition

Mastering Machine Learning with R, Second Edition by Cory Lesmeister
English | April 24th, 2017 | ISBN: 1787287475, 9781787287471 | 410 pages | True PDF | 6.63 MB

Master machine learning techniques with R to deliver insights in complex projects!

Python Machine Learning - Second Edition  eBooks & eLearning

Posted by AlenMiler at Sept. 21, 2017
Python Machine Learning - Second Edition

Python Machine Learning - Second Edition by Sebastian Raschka
English | 20 Sept. 2017 | ISBN: 1787125939 | ASIN: B0742K7HYF | 501 Pages | AZW3 | 19.97 MB

Spark for Machine Learning  eBooks & eLearning

Posted by naag at Sept. 20, 2017
Spark for Machine Learning

Spark for Machine Learning
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 294 MB
Genre: eLearning | Language: English

MATLAB for Machine Learning  eBooks & eLearning

Posted by AlenMiler at Sept. 20, 2017
MATLAB for Machine Learning

MATLAB for Machine Learning by Giuseppe Ciaburro
English | 28 Aug. 2017 | ISBN: 1788398432 | ASIN: B0748MRH65 | 382 Pages | AZW3 | 16.17 MB