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: 104576 HUF
Availability: InStock

Szerző: Bertrand Clarke

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten

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

Információk a könyvről

Szerző

Bertrand Clarke

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2009

oldal

786

EAN

9780387981345

ISBN

0387981349

Enbook ID

01327947

Kiadó

Springer-Verlag New York Inc.

Súly

1284

Méretek

156 x 241 x 59

Teljes leírás

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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