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Ensemble Methods: Foundations and Algorithms

4.06  ·  Rating details ·  17 ratings  ·  2 reviews
An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field.



After presenting background and terminology, the book covers the main algorithms and
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Hardcover, 236 pages
Published June 6th 2012 by CRC Press (first published January 1st 2012)
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Jin Shusong
Feb 08, 2018 rated it it was amazing
Shelves: treating
Briefly introduce ensemble methods. Useful for beginners in this area.
Anosh
Dec 29, 2014 rated it really liked it
The ingenuity of researchers in this field is very impressive. I learned many new tricks after reading this book.

The "Theoretical Issues" sections were hard to read because of notation issues (every chapter has a different notation) and typos.
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