Description: Further DetailsTitle: Convex Optimization for Machine LearningCondition: NewEAN: 9781638280521ISBN: 9781638280521Publisher: now publishers IncFormat: HardbackRelease Date: 09/30/2022Description: 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.Language: EnglishCountry/Region of Manufacture: USItem Height: 234mmItem Length: 156mmAuthor: Changho SuhGenre: Science Nature & MathBook Series: NowOpenItem Weight: 717gTopic: Computing & InternetRelease Year: 2022 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Convex Optimization for Machine Learning
Title: Convex Optimization for Machine Learning
EAN: 9781638280521
ISBN: 9781638280521
Release Date: 09/30/2022
Release Year: 2022
Country/Region of Manufacture: US
Genre: Science Nature & Math
Topic: Computing & Internet
Number of Pages: 350 Pages
Language: English
Publication Name: Convex Optimization for Machine Learning
Publisher: Now Publishers
Item Height: 0.9 in
Subject: Intelligence (Ai) & Semantics, General, Optimization
Publication Year: 2022
Item Weight: 25.3 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Science
Item Length: 9.2 in
Author: Changho Suh
Series: Nowopen Ser.
Item Width: 6.1 in
Format: Hardcover