The Elements of Statistical Learning : Data Mining, Inference, and Prediction

Trevor Hastie, Robert Tibshirani, Jerome Friedman

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38 kali
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"During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics"

Subjek

Machine Learning
 

Katalog

The Elements of Statistical Learning : Data Mining, Inference, and Prediction
international standard bo
757p.: pdf file.; 15 MB
English

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Pengarang

Trevor Hastie, Robert Tibshirani, Jerome Friedman
Perorangan
 
 

Penerbit

Springer
New York
2017

Koleksi

Kompetensi

  • CII3L3 - PEMBELAJARAN MESIN LANJUT
  • TEI6G3 - PEMBELAJARAN MESIN LANJUT
  • CPI3L3 - PEMBELAJARAN MESIN LANJUT

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