Jeremy_Watt-Machine_Learning_Refined-EN.pdf

Machine Learning Refined

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 think-

ing, 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

• A unique treatment of state-of-the-art numerical optimization techniques

• A fused introduction to logistic regression and support vector machines

• Inclusion of feature design and learning as major topics

• An unparalleled presentation of advanced topics through the lens of function

approximation

• A refined description of deep neural networks and kernel methods

Jeremy Watt received his PhD in Computer Science and Electrical Engineering from

Northwestern University. His research interests lie in machine learning and computer

vision, as well as numerical optimization.

Reza Borhani received his PhD in Computer Science and Electrical Engineering from

Foundations, Algorithms, and Applications

JEREMY WATT, REZA BORHANI, AND

AGGELOS K. KATSAGGELOS

Northwestern University

University Printing House, Cambridge CB2 8BS, United Kingdom

Cambridge University Press is part of the University of Cambridge.

It furthers the University’s mission by disseminating knowledge in the pursuit of

education, learning and research at the highest international levels of excellence.

Information on this title: www.cambridge.org/9781107123526

Printed in the United Kingdom by Clays, St Ives plc

A catalog record for this publication is available from the British Library

Library of Congress Cataloging in Publication data

Names: Watt, Jeremy, author. | Borhani, Reza. | Katsaggelos, Aggelos

Title: Machine learning refined : foundations, algorithms, and

applications / Jeremy Watt, Reza Borhani, Aggelos Katsaggelos.

Description: New York : Cambridge University Press, 2016.

of URLs for external or third-party internet websites referred to in this publication,

and does not guarantee that any content on such websites is, or will remain,

accurate or appropriate.