MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02583cam a2200301 i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20230615102233.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
200817s ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781999730345 |
| Qualifying information |
paperback |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
EG-CaTKH |
| Language of cataloging |
eng |
| Transcribing agency |
EG-CaTKH |
| Description conventions |
rda |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.1 FI.A 2018 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Finlay, Steven, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Artificial intelligence and machine learning for business : |
| Remainder of title |
a no-nonsense guide to data driven technologies / |
| Statement of responsibility, etc. |
Steven Finlay. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
Third edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Great Britain : |
| Name of producer, publisher, distributor, manufacturer |
Relativistic Books, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2018. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
x, 182 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
22 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 (pages 174-182). |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
What are machine learning and artificial intelligence (AI)? -- What do the scores generated by a predictive model represent? -- Why use machine learning? What value does it add? -- How does machine learning work? -- Using a predictive model to make decisions -- That's scorecards, but what about decision trees? -- Neural networks and deep learning -- Unsupervised and reinforcement learning -- How to build a predictive model -- Operationalizing machine learning -- The relationship between big data and machine learning -- Ethics, law, and the GDPR -- The cutting edge of machine learning -- When can I buy a self-driving car? -- Concluding remarks -- Appendices: Evaluating predictive models ; Further information and recommended reading ; Popular terms in machine learning and AI ; A checklist for business success. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Consequently, organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies"--Back cover. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Business |
| General subdivision |
Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) |
|---|
| Cataloger's name |
mona.romia |
| Cataloging process |
R |
| First Date, FD (RLIN) |
20230615 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Real World Object URI |
Steven Finlay |
