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Introduction to Machine Learning (Adaptive Computation and Machine Learning series)

Ethem Alpaydin




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 | #1091564 in Books |  MIT Press |  2009-12-04 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.00 x.94 x8.00l,2.69 | File type: PDF | 584 pages

||3 of 4 people found the following review helpful.| Wonderful textbook!|By John T Hill IV|This was recommended to me by a colleague. Reading through it has sharpened my understanding in the areas of machine learning that I already knew, and broadened it into the areas that I've only heard colloquially. I would recommend this to anyone aspiring to get a grounding in this broad field.|36 of 42 people found the following review h| ||"A few years ago, I used the first edition of this book as a reference book for a project I was working on. The clarity of the writing, as well as the excellent structure and scope, impressed me. I am more than pleased to find that this second edition continu

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. The second edition of Introduction to Machine Learning is a comprehensive textbook o...

You can specify the type of files you want, for your gadget.Introduction to Machine Learning (Adaptive Computation and Machine Learning series)   |  Ethem Alpaydin. I really enjoyed this book and have already told so many people about it!

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