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

Ethem Alpaydin




[PDF.sc84] Introduction to Machine Learning (Adaptive Computation and Machine Learning series)

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 | #217059 in Books |  imusti |  2014-08-22 | Original language:English | PDF # 1 |  9.00 x.88 x8.00l,.0 | File type: PDF | 640 pages

 | MIT Press MA

||0 of 0 people found the following review helpful.| He unpacks the major concepts of machine learning in a manner that makes it very easy to follow|By KateLove|I hope one day to meet Alpaydin in person to thank him profusely for this book (and earlier versions).
He unpacks the major concepts of machine learning in a manner that makes it very easy to follow.

I probably have 3 copies of the earlier edition. I boug| ||Ethem Alpaydin's Introduction to Machine Learning provides a nice blending of the topical coverage of machine learning (à la Tom Mitchell) with formal probabilistic foundations (à la Christopher Bishop). This newly updated version now in

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. Introduction to Machine Learning is a comprehensive textbook on the subject,...

You easily download any file type for your device.Introduction to Machine Learning (Adaptive Computation and Machine Learning series)   |  Ethem Alpaydin. A good, fresh read, highly recommended.

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