MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02696cam a2200457 i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
19777557 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20220606074223.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
170710s2017 cc a 001 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2017394288 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781449369415 |
| Qualifying information |
paperback |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)ocn895728667 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
BTCTA |
| Language of cataloging |
eng |
| Transcribing agency |
BTCTA |
| Description conventions |
rda |
| Modifying agency |
YDXCP |
| -- |
BDX |
| -- |
OCLCQ |
| -- |
JBL |
| -- |
APL |
| -- |
TEF |
| -- |
OCLCF |
| -- |
AHS |
| -- |
CHVBK |
| -- |
OCLCO |
| -- |
FIE |
| -- |
OCLCQ |
| -- |
EG-CaTKH |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
lccopycat |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.73.P98 |
| Item number |
M85 2016 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.133 MU.I 2016 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Müller, Andreas C., |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Introduction to machine learning with Python : |
| Remainder of title |
a guide for data scientists / |
| Statement of responsibility, etc. |
Andreas C. Müller, Sarah Guido. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
First edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Beijing : |
| Name of producer, publisher, distributor, manufacturer |
O'Reilly Media, Inc., |
| Date of production, publication, distribution, manufacture, or copyright notice |
2016. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii, 384 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Introduction -- Supervised learning -- Unsupervised learning and preprocessing -- Representing data and engineering features -- Model evaluation and improvement -- Algorithm chains and pipelines -- Working with text data -- Wrapping up. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. -- |
| Assigning source |
Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Python (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data mining. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Guido, Sarah, |
| Relator term |
author. |
| 856 41 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://ebookcentral.proquest.com/lib/coventry/detail.action?docID=4698164&query=Introduction+to+machine+learning+with+Python">https://ebookcentral.proquest.com/lib/coventry/detail.action?docID=4698164&query=Introduction+to+machine+learning+with+Python</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) |
|---|
| Cataloger's name |
mona.romia |
| Cataloging process |
R |
| First Date, FD (RLIN) |
20220606 |
| 246 30 - VARYING FORM OF TITLE |
|---|
| Title proper/short title |
Machine learning with Python |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
copycat |
| d |
2 |
| e |
ncip |
| f |
20 |
| g |
y-gencatlg |
