[PDF.39dn] Machine Learning Paradigms: Applications in Recommender Systems (Intelligent Systems Reference Library)

Machine Learning Paradigms: Applications in Recommender Systems (Intelligent Systems Reference Library)

[PDF.ku15] Machine Learning Paradigms: Applications in Recommender Systems (Intelligent Systems Reference Library)

Machine Learning Paradigms: Applications  Aristomenis S. Lampropoulos, George A. Tsihrintzis epub
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 | #9464416 in Books |  Ingramcontent |  2016-11-04 |  2016-10-17 | Original language:English | PDF # 1 |  9.25 x.34 x6.10l, | File type: PDF | 125 pages

 | Machine Learning Paradigms Applications in Recommender Systems Intelligent Systems Reference Library

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||0 of 0 people found the following review helpful.| Five Stars|By Al Hernandez|Great explanations and excellent reference book| ||“Researchers dealing with problems of accessing high volumes of complex data will make the best use of this book. Even though it is primarily a research text, the authors extensively present existing approaches to recommender systems and machine learnin

This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender systems built on the assumption of availability of both positive and negative examples do not perform well when negative examples are rare. It is exactly this problem that the authors address in the monograph at hand. Specifically, the books approach is based on one-clas...

You easily download any file type for your device.Machine Learning Paradigms: Applications in Recommender Systems (Intelligent Systems Reference Library)   |  Aristomenis S. Lampropoulos, George A. Tsihrintzis. Which are the reasons I like to read books. Great story by a great author.

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