Machine learning for practical decision making: (Record no. 5137)
[ view plain ]
000 -LEADER | |
---|---|
fixed length control field | 01643nam a22002417a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20230313114919.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 230313b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9783031169892 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.31 |
Item number | MOR |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Morr, Christo El |
245 ## - TITLE STATEMENT | |
Title | Machine learning for practical decision making: |
Remainder of title | a multidisciplinary perspective with applications from healthcare, engineering and business analytics |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc. | Springer |
Place of publication, distribution, etc. | Switzerland |
Date of publication, distribution, etc. | 2022 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xvii, 465 p. |
365 ## - TRADE PRICE | |
Price type code | EURO |
Price amount | 109.99 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines.<br/><br/>The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Machine Learning |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Data Preprocessing |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Data Visualization |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Jammal, Manar |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Ali-Hassan, Hossam |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | EI-Hallak, , Walid |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Book |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dewey Decimal Classification | IT & Decisions Sciences | IN373 | 20-02-2023 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 03/13/2023 | Bharatiya Sahitya Bhavana | 6646.06 | 006.31 MOR | 004650 | 03/13/2023 | 1 | 10108.08 | 03/13/2023 | Book |