Principles and Theory for Data Mining and Machine Learning

Name: Principles and Theory for Data Mining and Machine Learning
Brand: Springer-Verlag New York Inc.
SKU: 9780387981345
Price: 279.32 EUR
Availability: InStock

Autor: Bertrand Clarke

Jazyk:

Väzba: Pevná

Vydavateľ: Springer-Verlag New York Inc.

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This book is a thorough introduction to the most important topics in data mining and machine learnin...

Informácie o knihe

Autor

Bertrand Clarke

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2009

Stránok

786

EAN

9780387981345

ISBN

0387981349

Enbook ID

01327947

Vydavateľ

Springer-Verlag New York Inc.

Hmotnosť

1284

Rozmery

156 x 241 x 59

Kompletný popis

This book is a thorough introduction to the most important topics in data mining and machine learning. It begins with a detailed review of classical function estimation and proceeds with chapters on nonlinear regression, classification, and ensemble methods. The final chapters focus on clustering, dimension reduction, variable selection, and multiple comparisons. All these topics have undergone extraordinarily rapid development in recent years and this treatment offers a modern perspective emphasizing the most recent contributions. The presentation of foundational results is detailed and includes many accessible proofs not readily available outside original sources. While the orientation is conceptual and theoretical, the main points are regularly reinforced by computational comparisons.§Intended primarily as a graduate level textbook for statistics, computer science, and electrical engineering students, this book assumes only a strong foundation in undergraduate statistics and mathematics, and facility with using R packages. The text has a wide variety of problems, many of an exploratory nature. There are numerous computed examples, complete with code, so that further computations can be carried out readily. The book also serves as a handbook for researchers who want a conceptual overview of the central topics in data mining and machine learning.

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Principles and Theory for Data Mining and Machine Learning

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