MARC details
000 -LEADER |
fixed length control field |
03059cam a22004935i 4500 |
001 - CONTROL NUMBER |
control field |
21663209 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20220420152938.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
fixed length control field |
m |o d | |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr ||||||||||| |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
180226s2018 xxu|||| o |||| 0|eng |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2019739774 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781484234235 |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/978-1-4842-3423-5 |
Source of number or code |
doi |
035 ## - SYSTEM CONTROL NUMBER |
System control number |
(DE-He213)978-1-4842-3423-5 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
DLC |
Language of cataloging |
eng |
Description conventions |
pn |
-- |
rda |
Transcribing agency |
DLC |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UMX |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM051360 |
Source |
bisacsh |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UMX |
Source |
thema |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
005.1372 |
Edition number |
1 |
Item number |
KRUS |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Kruk, Serge. |
9 (RLIN) |
30629 |
245 10 - TITLE STATEMENT |
Title |
Practical Python AI Projects : |
Remainder of title |
mathematical models of optimization problems with google OR-tools / |
Statement of responsibility, etc. |
by Serge Kruk. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
New York : |
Name of publisher, distributor, etc. |
Apress , |
Date of publication, distribution, etc. |
2020. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xiii,279p. ; |
Dimensions |
23.5 cm. |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
computer |
Media type code |
c |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
online resource |
Carrier type code |
cr |
Source |
rdacarrier |
347 ## - DIGITAL FILE CHARACTERISTICS |
File type |
text file |
Encoding format |
PDF |
Source |
rda |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
1: Introduction -- 2: Linear Continuous Models -- 3: Hidden Linear Continuous Models -- 4: Linear Network Models -- 5: Classic Discrete Models -- 6: Classic Mixed Models -- 7: Advanced Techniques. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Discover the art and science of solving artificial intelligence problems with Python using optimization modeling. This book covers the practical creation and analysis of mathematical algebraic models such as linear continuous models, non-obviously linear continuous models, and pure linear integer models. Rather than focus on theory, Practical Python AI Projects, the product of the author's decades of industry teaching and consulting, stresses the model creation aspect; contrasting alternate approaches and practical variations. Each model is explained thoroughly and written to be executed. The source code from all examples in the book is available, written in Python using Google OR-Tools. It also includes a random problem generator, useful for industry application or study. You will: Build basic Python-based artificial intelligence (AI) applications Work with mathematical optimization methods and the Google OR-Tools (Optimization Tools) suite Create several types of projects using Python and Google OR-Tools. |
588 ## - SOURCE OF DESCRIPTION NOTE |
Source of description note |
Description based on publisher-supplied MARC data. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Python (Computer program language). |
9 (RLIN) |
30630 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Computer science-Mathematics. |
9 (RLIN) |
30631 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Computer programming. |
9 (RLIN) |
30632 |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Python. |
Authority record control number or standard number |
https://scigraph.springernature.com/ontologies/product-market-codes/I29080 |
9 (RLIN) |
30633 |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Mathematics of Computing. |
Authority record control number or standard number |
https://scigraph.springernature.com/ontologies/product-market-codes/I17001 |
9 (RLIN) |
30634 |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Programming Techniques. |
Authority record control number or standard number |
https://scigraph.springernature.com/ontologies/product-market-codes/I14010 |
9 (RLIN) |
30635 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9781484234228 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9781484234242 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9781484240373 |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
a |
0 |
b |
ibc |
c |
origres |
d |
u |
e |
ncip |
f |
20 |
g |
y-gencatlg |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Book |
Edition |
1st |
Call number prefix |
005.1372 KRUS |