First-order and Stochastic Optimization Methods for Machine Learning
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. In spite of the intensive research and development in this area, there does not exist a systematic treatment to introduce the fundamental concepts and recent progresses on machine learning algorithms, especially on those based on shastic optimization methods, randomized algorithms, nonconvex optimization, distributed and online learning, and projection free methods. This book will benefit the broad audience in the area of machine learning, artificial intelligence and mathematical programming community by presenting these recent developments in a tutorial style, starting from the basic building blocks to the most carefully designed and complicated algorithms for machine learning.
1135610460
First-order and Stochastic Optimization Methods for Machine Learning
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. In spite of the intensive research and development in this area, there does not exist a systematic treatment to introduce the fundamental concepts and recent progresses on machine learning algorithms, especially on those based on shastic optimization methods, randomized algorithms, nonconvex optimization, distributed and online learning, and projection free methods. This book will benefit the broad audience in the area of machine learning, artificial intelligence and mathematical programming community by presenting these recent developments in a tutorial style, starting from the basic building blocks to the most carefully designed and complicated algorithms for machine learning.
159.99
In Stock
5
1

First-order and Stochastic Optimization Methods for Machine Learning
582
First-order and Stochastic Optimization Methods for Machine Learning
582Paperback(1st ed. 2020)
$159.99
159.99
In Stock
Product Details
ISBN-13: | 9783030395704 |
---|---|
Publisher: | Springer International Publishing |
Publication date: | 05/16/2020 |
Series: | Springer Series in the Data Sciences |
Edition description: | 1st ed. 2020 |
Pages: | 582 |
Product dimensions: | 6.10(w) x 9.25(h) x (d) |
From the B&N Reads Blog