MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02960nam a2200241Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
NULRC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250520102950.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
250520s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780262039406 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
NULRC |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q 325.5 .M64 2018 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mohri, Mehryar |
| Relator term |
author |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Foundations of machine learning / |
| Statement of responsibility, etc. |
Mehryar Mohri, Afshin Rostamizadeh and Ameet Talwalkar |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
Second edition |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cambridge, Massachusetts : |
| Name of publisher, distributor, etc. |
The MIT Press, |
| Date of publication, distribution, etc. |
c2018 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xv,486 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Introduction -- The PAC learning framework -- Rademacher complexity and VC-dimension -- Model selection -- Support vector machines -- Kernel methods - Boosting -- On-line learning -- Multi-class classification -- Ranking -- Regression -- Maximum entropy models -- Conditional maximum entropy models -- Algorithmic stability -- Dimensionality reduction -- Learning automata and languages -- Reinforcement learning -- Conclusion -- Appendices: Linear algebra review ; Convex optimization ; Probability review ; Concentration inequalities ; Notions of information theory. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review. This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition--Provided by publisher. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
MACHINE LEARNING |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Rostamizadeh, Afshin;Talwalkar, Ameet |
| Relator term |
co-author;co-author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Books |
