| 000 -LEADER |
|---|
| fixed length control field |
02734cam a22004097i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
19077328 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20170814140847.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
090717s2016 njua g 001 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2016940023 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781119245513 (pbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781119245759 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Canceled/invalid ISBN |
9781119245773 (ebk.) |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)ocn928487067 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
YDXCP |
| Language of cataloging |
eng |
| Transcribing agency |
YDXCP |
| Description conventions |
rda |
| Modifying agency |
BDX |
| -- |
BTCTA |
| -- |
OCLCQ |
| -- |
CCE |
| -- |
JRZ |
| -- |
UOK |
| -- |
ZPP |
| -- |
OCLCF |
| -- |
CGP |
| -- |
DLC |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
lccopycat |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q325.5 |
| Item number |
.M836 2016 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Edition number |
23 |
| Item number |
M M |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mueller, John, |
| Dates associated with a name |
1958- |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Machine learning for dummies / |
| Statement of responsibility, etc. |
by John Paul Mueller and Luca Massaron. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Hoboken, New Jersey : |
| Name of publisher, distributor, etc. |
John Wiley & Sons, Inc. , |
| Date of publication, distribution, etc. |
2016. |
| 265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE] |
|---|
| Source for acquisition/subscription address [OBSOLETE] |
المكتبة الأكاديمية |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii, 410 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm. |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
For dummies |
| 500 ## - GENERAL NOTE |
|---|
| General note |
"Learning made easy"--Cover. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Introducing how machines learn -- Preparing your learning tools -- Getting started with the math basics -- Learning from smart and big data -- Applying learning to real problems -- The part of tens. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Machine learning is an exciting new way to use computers to perform tasks that require the ability to learn from experience. In order to make machine learning a reality, programmers rely on special languages, such as Python and R, and new types of tools. Machine Learning For Dummies helps the reader understand what machine learning is, when it can help perform a new class of computer tasks, and how to implement machine learning using Python and R, along with the required tools. Unlike most machine learning books, Machine Learning For Dummies does not assume that the reader has years of experience using programming languages. This book provides the much-needed entry point for people who really could use machine learning to accomplish practical tasks, but dont necessarily have the skills required to use on more advanced books. This book will cover the entry level materials required to get readers up and running faster, how to perform practical tasks, how to perform useful work without getting overly involved in the underlying math principles, fun ways to play with new tools and learn as a result, and how to separate facts from myth to see how machine learning is useful in todays world. -- |
| 650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning. |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning. |
| Source of heading or term |
fast |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Massaron, Luca, |
| Relator term |
author |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
--For dummies. |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
copycat |
| d |
2 |
| e |
epcn |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Books |
| Item part |
Faculty of Info. System & Computer Science كلية نظم المعلومات وعلوم الحاسب |
