First-order and Stochastic Optimization Methods for Machine Learning - Springer Series in the Data Sciences - Guanghui Lan - Books - Springer Nature Switzerland AG - 9783030395674 - May 16, 2020
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Guanghui Lan
First-order and Stochastic Optimization Methods for Machine Learning - Springer Series in the Data Sciences 2020 edition

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This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms.

582 pages, 12 Tables, color; 16 Illustrations, color; 2 Illustrations, black and white; XIII, 582 p.

Media Books     Hardcover Book   (Book with hard spine and cover)
Released May 16, 2020
ISBN13 9783030395674
Publishers Springer Nature Switzerland AG
Pages 582
Dimensions 243 × 161 × 40 mm   ·   1.02 kg
Language German  

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