Lectures on the Nearest Neighbor Method (Springer Series in the Data Sciences)
Language: English
Published by Springer, 2019
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Title
- Lectures on the Nearest Neighbor Method (Springer Series in the Data Sciences)
- Author
- Biau, Gérard; Devroye, Luc
- Publisher
- Springer
- Publication year
- 2019
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3319797824
- ISBN 13
- 9783319797823
- Series
- Book 1 of 11: Springer Series in the Data Sciences
This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods.
Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal).
"Synopsis" may belong to another edition of this title.
From the Back Cover
This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods.
Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal).
"About the title" may belong to another edition of this title.
Ria Christie Collections
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