Handbook Of Research On Machine Learning Applications and Trends: Algorithms, Methods and Techniques (2 Volumes) (repost)
Emilio Soria Olivas, Jose David Martin Guerrero, Marcelino Martinez Sober, and Jose Rafael Magdalena Benedito, "Handbook Of Research On Machine Learning Applications and Trends: Algorithms, Methods and Techniques (2 Volumes)"
Information Science Reference | 2009 | ISBN: 1605667668 | 834 pages | PDF | 11,9 MB
Information Science Reference | 2009 | ISBN: 1605667668 | 834 pages | PDF | 11,9 MB
The machine learning approach provides a useful tool when the amount of data is very large and a model is not available to explain the generation and relation of the data set. The Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques provides a set of practical applications for solving problems and applying various techniques in automatic data extraction and setting. A defining collection of field advancements, this Handbook of Research fills the gap between theory and practice, providing a strong reference for academicians, researchers, and practitioners.
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