Transcription of Foundations of Machine Learning
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Foundations of Machine LearningAdaptive Computation and Machine LearningThomas Dietterich, EditorChristopher Bishop, David Heckerman, Michael Jordan, and Michael Kearns,Associate EditorsA complete list of books published in The Adaptive Computations and MachineLearning series appears at the back of this of Machine LearningMehryar Mohri, Afshin Rostamizadeh, and Ameet TalwalkarThe MIT PressCambridge, MassachusettsLondon, Englandc 2012 Massachusetts Institute of TechnologyAll rights reserved. No part of this book may be reproduced in any form by anyelectronic or mechanical means (including photocopying, recording, or informationstorage and retrieval) without permission in writing from the Press books may be purchased at special quantity discounts for business orsales promotional use. For information, please email write to Special Sales Department, The MIT Press, 55 Hayward Street, Cam-bridge, MA book was set in LATEX by the authors.
fundamental topics in a general manner. For example, books about kernel methods do not include a discussion of other fundamental topics such as boosting, ranking, reinforcement learning, learning automata or online learning. There also exist more general machine learning books, but the theoretical foundation of our book and our
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