[PDF.29pt] Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)

Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)

[PDF.je58] Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)

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 | #2214945 in Books |  2009-07-30 | Original language:English | PDF # 1 |  9.21 x1.69 x6.14l,2.73 | File type: PDF | 786 pages

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||12 of 12 people found the following review helpful.| An overall good book, although a hard one.|By phtanus|This book covers many methods in data mining and machine learning. The best thing to me is that it tells each story from a theoretical way, but not a superficial way. It really helps you understand these machine learning methods from a deep perspective. Reading this book did let me think more thoroughly.
Of course t| ||From the reviews:|“PhD level students, and researchers and practitioners in statistical learning and machine learning. … text assumes a thorough training in undergraduate statistics and mathematics. Computed examples that include R code are scatt

Extensive treatment of the most up-to-date topics

Provides the theory and concepts behind popular and emerging methods

Range of topics drawn from Statistics, Computer Science, and Electrical Engineering

You easily download any file type for your device.Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)   |  Bertrand Clarke, Ernest Fokoue, Hao Helen Zhang. A good, fresh read, highly recommended.

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