MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02243nam a22002655i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20200209154202.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
180214s2018 nyua 000 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2018934677 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781484234228 (hard : alk. paper) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
DLC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
23 |
| Classification number |
005.133 |
| Item number |
P |
| 245 00 - TITLE STATEMENT |
|---|
| Title |
Practical Python AI projects : |
| Remainder of title |
mathematical models of optimization problems with Google or-tools / |
| Statement of responsibility, etc |
[edited by] Serge Kruk. |
| 263 ## - PROJECTED PUBLICATION DATE |
|---|
| Projected publication date |
1802 |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New York, NY : |
| Name of publisher, distributor, etc |
Springer Science+Business Media, |
| Date of publication, distribution, etc |
2018. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
279 pages ; |
| Other physical details |
illustrations : |
| Dimensions |
23 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 |
| 505 #0 - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Introduction -- Linear continuous models -- Hidden linear <br/> continuous models -- Linear network models -- Classic <br/> discrete models -- Classic mixed models -- Advanced <br/> techniques |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Discover the art and science of solving artificial <br/> intelligence problems with Python using optimization <br/> modeling. This book covers the practical creation and <br/> analysis of mathematical algebraic models such as linear <br/> continuous models, non-obviously linear continuous models,<br/> and pure linear integer models. Rather than focus on <br/> theory, Practical Python AI Projects, the product of the <br/> author's decades of industry teaching and consulting, <br/> stresses the model creation aspect; contrasting alternate <br/> approaches and practical variations. Each model is <br/> explained thoroughly and written to be executed. The <br/> source code from all examples in the book is available, <br/> written in Python using Google OR-Tools. It also includes <br/> a random problem generator, useful for industry <br/> application or study. You will: Build basic Python-based <br/> artificial intelligence (AI) applications Work with <br/> mathematical optimization methods and the Google OR-Tools <br/> (Optimization Tools) suite Create several types of <br/> projects using Python and Google OR-Tools |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Python (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial intelligence |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |