MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02702cam a22004697i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
23494766 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240902164018.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
240110s2023 caua 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2023302490 |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER |
|---|
| National bibliography number |
GBC3F6725 |
| Source |
bnb |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER |
|---|
| Record control number |
021178905 |
| Source |
Uk |
| 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 |
| -- |
DLC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
lccopycat |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q325.5 |
| Item number |
.A425 2023 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 GAL |
| Edition number |
23 |
| Item number |
24732 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Gallatin, Kyle, |
| Relator term |
author. |
| 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 |
Second edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Sebastopol, CA : |
| Name of producer, publisher, distributor, manufacturer |
O'Reilly Media Inc, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2023. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiv, 398 pages : |
| Other physical details |
illustrations (black and white) ; |
| 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 |
Previous ed.: / Chris Albon. 2018. |
|
|---|
| General note |
Includes index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Working with vectors, matrices, and arrays in NumPy -- Losding data -- Data wrangling -- Handling numerical data -- Handling categorical data -- Handling text --Handling dates and times -- Handling images --Dimension reduction using feature extraction -- Dimensionality redutctuion using feature selection |
| 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 entry element |
Machine learning. |
|
|---|
| Topical term or geographic name entry element |
Python (Computer program language) |
|
|---|
| Topical term or geographic name entry element |
Apprentissage automatique. |
|
|---|
| Topical term or geographic name entry element |
Python (Langage de programmation) |
|
|---|
| Topical term or geographic name entry element |
Machine learning |
| Source of heading or term |
fast |
|
|---|
| Topical term or geographic name 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. |
| 852 ## - LOCATION |
|---|
| Accession No. |
10004000024732 |
| 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 (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| Suppress in OPAC |
No |
