MARC details
000 -LEADER |
fixed length control field |
01992nam a22003375i 4500 |
001 - CONTROL NUMBER |
control field |
23494766 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
Bd-DhDIU |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20250526090813.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
240110s2023 caua 001 0 eng |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781098135720 |
Qualifying information |
paperback |
|
International Standard Book Number |
1098135725 |
035 ## - SYSTEM CONTROL NUMBER |
System control number |
(OCoLC)on1400087878 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
UKMGB |
Language of cataloging |
eng |
Description conventions |
rda |
Transcribing agency |
UKMGB |
Modifying agency |
JRZ |
-- |
JOZ |
-- |
OCLCO |
-- |
JOZ |
-- |
OCLCF |
-- |
OCLCO |
-- |
Bd-DhDIU |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.31/ G162m |
Edition number |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Gallatin, Kyle, |
Relator term |
author. |
9 (RLIN) |
15706 |
245 10 - TITLE STATEMENT |
Title |
Machine learning with Python cookbook : |
Remainder of title |
practical solutions from preprocessing to deep learning / |
Statement of responsibility, etc |
Kyle Gallatin and Chris Albon. |
250 ## - EDITION STATEMENT |
Edition statement |
2nd ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Boston : |
Name of publisher, distributor, etc |
O'Reilly Media Inc, |
Date of publication, distribution, etc |
2023. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xiv, 398 pages : |
Other physical details |
illustrations (black and white) ; |
Dimensions |
24 cm |
500 ## - GENERAL NOTE |
General note |
Previous ed.: / Chris Albon. 2018. |
|
General note |
Includes index. |
520 ## - SUMMARY, ETC. |
Summary, etc |
This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems, from loading data to training models and leveraging neural networks. Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure that it works. From there, you can adapt these recipes according to your use case or application. Recipes include a discussion that explains the solution and provides meaningful context. Go beyond theory and concepts by learning the nuts and bolts you need to construct working machine learning applications. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Machine learning. |
9 (RLIN) |
18073 |
|
Topical term or geographic name as entry element |
Python (Computer program language) |
|
Topical term or geographic name as entry element |
Apprentissage automatique. |
9 (RLIN) |
15707 |
|
Topical term or geographic name as entry element |
Python (Langage de programmation) |
9 (RLIN) |
15708 |
|
Topical term or geographic name as entry element |
Machine learning |
Source of heading or term |
fast |
|
Topical term or geographic name as entry element |
Python (Computer program language) |
Source of heading or term |
fast |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Albon, Chris, |
Relator term |
author. |
9 (RLIN) |
15709 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Book |
Koha issues (borrowed), all copies |
11 |