| 000 -LEADER |
|---|
| fixed length control field |
02424cam a22003017a 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
21059062 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20251024154210.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
190709t20202020enka b 001 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2019945424 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780198828044 |
|
|---|
| International Standard Book Number |
0198828047 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)on1140387307 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
VJK |
| Language of cataloging |
eng |
| Transcribing agency |
VJK |
| Modifying agency |
BDX |
| -- |
DLC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
lccopycat |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q325.5 |
| Item number |
.T73 2020 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
Grad 006.31 |
| Item number |
T774 2020 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Trappenberg, Thomas P., |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Fundamentals of machine learning / |
| Statement of responsibility, etc. |
Thomas P. Trappenberg, Dalhousie University. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
First edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Oxford, United Kingdom : |
| Name of producer, publisher, distributor, manufacturer |
Oxford University Press, |
| Date of production, publication, distribution, manufacture, or copyright notice |
©2020. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xi, 247 pages : |
| Other physical details |
illustrations |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Machine learning is exploding, both in research and for industrial applications. This book aims to be a brief introduction to this area given the importance of this topic in many disciplines, from sciences to engineering, and even for its broader impact on our society. This book tries to contribute with a style that keeps a balance between brevity of explanations, the rigor of mathematical arguments, and outlining principle ideas. At the same time, this book tries to give some comprehensive overview of a variety of methods to see their relation on specialization within this area. This includes some introduction to Bayesian approaches to modeling as well as deep learning. Writing small programs to apply machine learning techniques is made easy today by the availability of high-level programming systems. This book offers examples in Python with the machine learning libraries sklearn and Keras. The first four chapters concentrate largely on the practical side of applying machine learning techniques. The book then discusses more fundamental concepts and includes their formulation in a probabilistic context. This is followed by chapters on advanced models, that of recurrent neural networks and that of reinforcement learning. The book closes with a brief discussion on the impact of machine learning and AI on our society.-- |
| Assigning source |
Source other than the Library of Congress. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
copycat |
| d |
2 |
| e |
ncip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Book |