Machine learning for business analytics : (Record no. 604135)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03065cam a22003255i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 22863011 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250422050432.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 221110s2022 flu 000 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2022949826 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781032072777 |
| Qualifying information | (paperback) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DLC |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | DLC |
| Modifying agency | AU |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | pcc |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | Alfaisal Main Library |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | HF5548.2.K2 2022 |
| 245 00 - TITLE STATEMENT | |
| Title | Machine learning for business analytics : |
| Remainder of title | real-time data analysis for decision-making / |
| Statement of responsibility, etc | Hemachandran K, Sayantan Kharna, Raul V Rodriguez, Juan R Jaramillo. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st |
| 263 ## - PROJECTED PUBLICATION DATE | |
| Projected publication date | 2212 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS | |
| Place of production, publication, distribution, manufacture | Boca Raton : |
| Name of producer, publisher, distributor, manufacturer | Taylor and Francis, |
| Date of production, publication, distribution, manufacture | ©2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 173 pages |
| 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 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "Machine Learning is an integral tool in a business analyst's arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions. The global machine learning market was valued at $1.58 billion in 2017 and is expected to reach $20.83 billion in 2024 -- growing at a CAGR of 44.06% between 2017 and 2024. The authors have compiled important knowledge on machine learning real-time applications in business analytics. This book enables readers to get broad knowledge in the field of machine learning models and to carry out their future research work. The future trends of machine learning for business analytics are explained with real case studies. Essentially, this book acts as a guide to all business analysts. The authors blend the basics of data analytics and machine learning and extend its application to business analytics. This book acts as a superb introduction and covers the applications and implications of machine learning. The authors provide first-hand experience of the applications of machine learning for business analytics in the section on real-time analysis. Case studies put the theory into practice so that you may receive hands-on experience with machine learning and data analytics. This book is a valuable source for practitioners, industrialists, technologists, and researchers"-- |
| 655 #0 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Print books. |
| Source of term | local |
| 9 (RLIN) | 4 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | K, Hemachandran, |
| Relator term | editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kharna, Sayantan, |
| Relator term | editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Rodriguez, Raul V, |
| Relator term | editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Jaramillo, Juan R, |
| Relator term | editor. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Koha item type | BOOKS |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | Alfaisal University | Alfaisal University | On Shelf | 2025-04-22 | HF5548.2.K2 2022 | AU00000000020579 | 2025-04-22 | 495.00 | 2025-04-22 | BOOKS |