| 000 -LEADER |
|---|
| fixed length control field |
01364nam a22002777a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
BD-CoBAI |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20251014020003.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
180924r20182015ii a b 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9788126555925 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
BD-CoBAI |
| Language of cataloging |
eng |
| Transcribing agency |
BD-CoBAI |
| Modifying agency |
BD-CoBAI |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Edition number |
23 |
| Item number |
B681m |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Bowles, Michael, |
| Relator term |
author. |
| 9 (RLIN) |
1127 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Machine Learning in Python : |
| Remainder of title |
essential techniques for predictive analysis / |
| Statement of responsibility, etc. |
Michael Bowles. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Indianapolis, IN : |
| -- |
New Delhi : |
| Name of publisher, distributor, etc. |
John Wiley & Sons, Inc., |
| Date of publication, distribution, etc. |
c2015. [reprint 2018] |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxix, 326 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 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
The two essential algorithms for making predictions -- Understand the problem by understanding the data -- Predictive model building : balancing performance, complexity, and big data -- Penalized linear regression -- Building predictive models using penalized linear methods -- Ensemble methods -- Building ensemble models with Python. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
|---|
| Program name |
Computer Science and Engineering CSE |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 9 (RLIN) |
549 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Python (Computer program language) |
| 9 (RLIN) |
1128 |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Python (Lenguaje de programación para computadora) |
| 9 (RLIN) |
2009 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Book |
| Koha issues (borrowed), all copies |
14 |
