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Machine learning refined = foundatio...

Katsaggelos, Aggelos K. (1956-)

Machine learning refined = foundations, algorithms, and applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine learning refined/ Jeremy Watt, Reza Borhani, and Aggelos K. Katsaggelos.
Reminder of title:	foundations, algorithms, and applications /
Author:	Watt, Jeremy.
other author:	Borhani, Reza.
Published:	Cambridge :Cambridge University Press, : 2016.,
Description:	xiii, 286 p. :ill., digital ; : 24 cm.;
Subject:	Machine learning. -
Online resource:	https://doi.org/10.1017/CBO9781316402276
ISBN:	9781316402276

Machine learning refined = foundations, algorithms, and applications /
Watt, Jeremy.

Machine learning refinedfoundations, algorithms, and applications /[electronic resource] :Jeremy Watt, Reza Borhani, and Aggelos K. Katsaggelos. - Cambridge :Cambridge University Press,2016. - xiii, 286 p. :ill., digital ;24 cm.

Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker, and play. By prioritizing geometric intuition, algorithmic thinking, and practical real world applications in disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology, this text provides readers with both a lucid understanding of foundational material as well as the practical tools needed to solve real-world problems. With in-depth Python and MATLAB/OCTAVE-based computational exercises and a complete treatment of cutting edge numerical optimization techniques, this is an essential resource for students and an ideal reference for researchers and practitioners working in machine learning, computer science, electrical engineering, signal processing, and numerical optimization.

ISBN: 9781316402276Subjects--Topical Terms:

561253
Machine learning.

LC Class. No.: Q325.5 / .W38 2016

Dewey Class. No.: 006.31

Machine learning refined = foundations, algorithms, and applications /
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245 1 0 $a Machine learning refined $h [electronic resource] : $b foundations, algorithms, and applications / $c Jeremy Watt, Reza Borhani, and Aggelos K. Katsaggelos.
260 $a Cambridge : $b Cambridge University Press, $c 2016.
300 $a xiii, 286 p. : $b ill., digital ; $c 24 cm.
520 $a Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker, and play. By prioritizing geometric intuition, algorithmic thinking, and practical real world applications in disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology, this text provides readers with both a lucid understanding of foundational material as well as the practical tools needed to solve real-world problems. With in-depth Python and MATLAB/OCTAVE-based computational exercises and a complete treatment of cutting edge numerical optimization techniques, this is an essential resource for students and an ideal reference for researchers and practitioners working in machine learning, computer science, electrical engineering, signal processing, and numerical optimization.
650 0 $a Machine learning. $3 561253
700 1 $a Borhani, Reza. $3 1238358
700 1 $a Katsaggelos, Aggelos K. $q (Aggelos Konstantinos), $d 1956- $3 1238359
856 4 0 $u https://doi.org/10.1017/CBO9781316402276

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