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" Optimization for learning and control "


Material Type* : Latin Book
Language of Document : English
Record Number : 1598360
Doc. No : E4348
Main Entry : Hansson, Anders
Title & Author : Optimization for learning and control [electronic resources: book]/ Anders Hansson, Martin Andersen.
Publication Statement : Hoboken, New Jersey: John Wiley and Sons, Incorporated, 2023.
Page. NO : 1 online resource (xxvii, 397 p.: illustrations)
Abstract : "Comprehensive resource providing a masters' level introduction to optimization theory and algorithms for learning and control Optimization for Learning and Control describes how optimization is used in these domains, giving a thorough introduction to both unsupervised learning, supervised learning, and reinforcement learning, with an emphasis on optimization methods for large-scale learning and control problems. Several applications areas are also discussed, including signal processing, system identification, optimal control, and machine learning. Today, most of the material on the optimization aspects of deep learning that is accessible for students at a Masters' level is focused on surface-level computer programming; deeper knowledge about the optimization methods and the trade-offs that are behind these methods is not provided. The objective of this book is to make this scattered knowledge, currently mainly available in publications in academic journals, accessible for Masters' students in a coherent way"-- Provided by publisher
ISBN : 9781119809142 (eISBN)
Subject : MATLAB.
Subject : System analysis -- Mathematics.
Subject : Mathematical optimization
Subject : Machine learning -- Mathematics.
Subject : Signal processing -- Mathematics
Added Entry : Andersen, Martin S.
center : University of Tehran. Library of College of Science
electronic file name : UT_SCI_BL_DB_1004723_0001.pdf
Internal Bibliographies/Indexes Note : Includes bibliographical references and index.
copyhttps://lib.ut.ac.ir/site/catalogue/1598360
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