Understanding machine learning : from theory to algorithms /
"Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundament...
第一著者: | Shalev-Shwartz, Shai |
---|---|
その他の著者: | Ben-David, Shai |
フォーマット: | 図書 |
言語: | English |
出版事項: |
New York, NY, USA ; India :
Cambridge University Press,
2014. [Reprinted 2022]
|
版: | First south asia edition 2015 |
主題: | |
Classic Catalogue: | View this record in Classic Catalogue |
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