[PDF.73yk] Ensemble Methods: Foundations and Algorithms (Chapman & Hall/CRC Data Mining and Knowledge Discovery Serie)

Ensemble Methods: Foundations and Algorithms (Chapman & Hall/CRC Data Mining and Knowledge Discovery Serie)

[PDF.fu63] Ensemble Methods: Foundations and Algorithms (Chapman & Hall/CRC Data Mining and Knowledge Discovery Serie)

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 | #734596 in Books |  Chapman and Hall/CRC |  2012-06-06 | Original language:English | PDF # 1 |  9.21 x.56 x6.14l,1.05 | File type: PDF | 236 pages

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||0 of 0 people found the following review helpful.| I quite enjoy reading it|By Runner X|The author sorts out this complex field of ensemble learning in a very accessible way, which is possibly the most valuable point of this book in my opinion. I quite enjoy reading it.|1 of 2 people found the following review helpful.| not worth it|By Mikhail|PROS:
- nice cover
CON| ||"… a valuable contribution to theoretical and practical ensemble learning. The material is very well presented, preliminaries and basic knowledge are discussed in detail, and many illustrations and pseudo-code tables help to understand the facts of thi

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 theories, including Boosting, Bagging, Random Forest, averaging...

You easily download any file type for your gadget.Ensemble Methods: Foundations and Algorithms (Chapman & Hall/CRC Data Mining and Knowledge Discovery Serie)   |  Zhi-Hua Zhou. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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