Friday 22 January 2010

Learning From Data

Learning From Data



Learning From Data


  • The fundamentals of Machine Learning; this is a short course, not a hurried course
  • Clear story-like exposition of the ideas accessible to a wide range of readers from beginners to practitioners to experts
  • Balanced treatment of the theoretical and the practical, the mathematical and the heuristic
  • In-depth discussion of (a) linear models (b) overfitting to stochastic and deterministic noise (c) regularization
  • Over 50 color illustrations; over 100 problems and exercises to supplement learning and study more advanced topics

Machine learning allows computational systems to adaptively improve their performance with experience accumulated from the observed data. Get and download textbook Learning From Data for free
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Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title `learning from data' that faithfully describes what the subject is about, and made it a point to cover the topics in a story-like fashion. Our hope is that the reader can learn all the fundamentals of the subject by reading the book cover to cover. ---- Learning Learning From Data new edition

Download free books for Utility-Based Learning from Data


Utility-Based Learning from Data - Craig Friedman, Sven Sandow

Learning from Data. Concepts, Theory and Methods: Filip M. Mulier, Vladimir Cherkassky

STATISTICS: LEARNING FROM DATA resolves common problems faced by students with an innovative approach that makes it easier for you to learn elementary statistics. Instead of assuming that you will "pick it up along the way," author Roxy Peck tackles the areas that statistics students struggle with most--probability, hypothesis testing, and selecting an appropriate method of analysis. Probability coverage is based on current research that shows how students best learn the subject. Real-data examples and exercises provide a meaningful context for introducing and developing new concepts. With thi

[ Ships Daily ] Condition: Good[ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ 1 CD/Disk(s) Included ] Statistics: The Art and Science of Learning from Data (Custom for San Diego Miramar College) By Alan Agresti, Christine Franklin ISBN: 0558506321 Edition:first Publisher: Pearson Custom Pub Date: 1/1/2009 Binding: Paperback Pages: 600



Learning From Data Textbook


Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know
---- Learning

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