0
Your cart

Your cart is empty

Books > Science & Mathematics > Mathematics > Optimization

Buy Now

Convex Optimization for Machine Learning (Hardcover) Loot Price: R3,177
Discovery Miles 31 770
Convex Optimization for Machine Learning (Hardcover): Changho Suh

Convex Optimization for Machine Learning (Hardcover)

Changho Suh

Series: NowOpen

 (sign in to rate)
Loot Price R3,177 Discovery Miles 31 770 | Repayment Terms: R298 pm x 12*

Bookmark and Share

Expected to ship within 10 - 15 working days

This book covers an introduction to convex optimization, one of the powerful and tractable optimization problems that can be efficiently solved on a computer. The goal of the book is tohelp develop a sense of what convex optimization is, and how it can be used in a widening array of practical contexts with a particular emphasis on machine learning.The first part of the book covers core concepts of convex sets, convex functions, and related basic definitions that serve understanding convex optimization and its corresponding models. The second part deals with one very useful theory, called duality, which enables us to: (1) gain algorithmic insights; and (2) obtain an approximate solution to non-convex optimization problems which are often difficult to solve. The last part focuses on modern applications in machine learning and deep learning.A defining feature of this book is that it succinctly relates the "story" of how convex optimization plays a role, via historical examples and trending machine learning applications. Another key feature is that it includes programming implementation of a variety of machine learning algorithms inspired by optimization fundamentals, together with a brief tutorial of the used programming tools. The implementation is based on Python, CVXPY, and TensorFlow. This book does not follow a traditional textbook-style organization, but is streamlined via a series of lecture notes that are intimately related, centered around coherent themes and concepts. It serves as a textbook mainly for a senior-level undergraduate course, yet is also suitable for a first-year graduate course. Readers benefit from having a good background in linear algebra, some exposure to probability, and basic familiarity with Python.

General

Imprint: Now Publishers Inc
Country of origin: United States
Series: NowOpen
Release date: September 2022
First published: 2022
Authors: Changho Suh
Dimensions: 234 x 156 x 31mm (L x W x T)
Format: Hardcover
Pages: 350
ISBN-13: 978-1-63828-052-1
Languages: English
Subtitles: English
Categories: Books > Science & Mathematics > Mathematics > Optimization > General
Promotions
LSN: 1-63828-052-5
Barcode: 9781638280521

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

You might also like..

Matroid Theory
James Oxley Hardcover R6,190 Discovery Miles 61 900
BI Statistical Methods - Volume I…
Peter Walley Hardcover R2,721 Discovery Miles 27 210
Transnational Cooperation - An…
Clint Peinhardt, Todd Sandler Hardcover R3,653 Discovery Miles 36 530
Continental Adventures
Charlotte Anne Eaton Paperback R584 Discovery Miles 5 840
Continental Adventures
Charlotte Anne Eaton Paperback R546 Discovery Miles 5 460
Sparse Polynomial Optimization: Theory…
Victor Magron, Jie Wang Hardcover R2,308 Discovery Miles 23 080
The History and Allure of Interactive…
Mark Kretzschmar, Sara Raffel Hardcover R3,073 Discovery Miles 30 730
Comparing Fairness - Relative Criteria…
Roger A. McCain Hardcover R2,913 Discovery Miles 29 130
Handbook of Experimental Game Theory
C. M. Capra, Rachel T. A. Croson, … Hardcover R6,470 Discovery Miles 64 700
Motion Control: Multi-faceted Movement…
Yoram Baram Hardcover R3,353 Discovery Miles 33 530
Learn Game Theory
Albert Rutherford Hardcover R704 Discovery Miles 7 040
Extremum Seeking through Delays and PDEs
Tiago Roux Oliveira, Miroslav Krstic Hardcover R3,284 R2,883 Discovery Miles 28 830

See more

Partners