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Lectures on the Nearest Neighbor Method (Hardcover, 1st ed. 2015) Loot Price: R2,322
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Repayment Terms: R218 pm x 12*
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Lectures on the Nearest Neighbor Method (Hardcover, 1st ed. 2015): Gerard Biau, Luc Devroye

Lectures on the Nearest Neighbor Method (Hardcover, 1st ed. 2015)

Gerard Biau, Luc Devroye

Series: Springer Series in the Data Sciences

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List price R3,254 Loot Price R2,322 Discovery Miles 23 220 | Repayment Terms: R218 pm x 12* You Save R932 (29%)

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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. Gerard Biau is a professor at Universite Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal).

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Series in the Data Sciences
Release date: December 2015
First published: 2015
Authors: Gerard Biau • Luc Devroye
Dimensions: 235 x 155 x 22mm (L x W x T)
Format: Hardcover
Pages: 290
Edition: 1st ed. 2015
ISBN-13: 978-3-319-25386-2
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN: 3-319-25386-7
Barcode: 9783319253862

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