Data science and data analytics : (Record no. 256408)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03334nam a22002898i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | TH-BaBU |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240704141453.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210224s2022 flu fob 001 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DLC |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | TH-BaBU |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781000423198 (electronic bk.) |
| International Standard Book Number | 9780367628826 |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.9.B45 |
| Item number | D394 2021 |
| 245 00 - TITLE STATEMENT | |
| Title | Data science and data analytics : |
| Remainder of title | opportunities and challenges / |
| Statement of responsibility, etc. | edited by Amit Kumar Tyagi |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Boca Raton, Fl. : |
| Name of producer, publisher, distributor, manufacturer | CRC Press, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Source | rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 505 2# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Data science and data analytics : artificial intelligence and machine learning integrated based approach / Sumika Chauhan, Manmohan Singh, Ashwani Kumar Aggarwal. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | "Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured (labelled) and unstructured (unlabelled) data. It is the future of Artificial Intelligence (AI) and the necessity of future to make things easier and more productive. In simple terms, Data science is the discovery of data or uncovering hidden patterns (like complex behaviors, trends, and inferences) from data. Moreover, Big Data Analytics/Data Analytics are the analysis mechanism used in Data Science by Data Scientist. Several tools like Hadoop, R, etc., are being used to analyse this large amount of data that can be used in predicting the valuable information/ making decisions. Note that structured data can be easily analysed by efficient (available) business intelligence tools, while most of the data (80% of data by 2020) is in unstructured form that requires advanced analytics tools. But while analysing, we face several concerns like complexity, scalability, privacy leaking and trust issues. Data science helps us in extracting meaningful information (or insights) from the unstructured or complex or large amount of data (available or stored around us virtually at cloud). In summary, this book will cover all the possible areas, applications with arising serious concerns, and challenges towards this emerging area/ field in detail (with a comparative analysis/ taxonomy). This books provides information to its readers This book gives concept of Data Science, Tools and Algorithms existed for many useful applications This book provides many challenges and Opportunities in Data Science and Data Analytics, which help researchers in identifying research gaps or problems to continue their research work All possible areas and uses of data science in this smart era This book is in written many areas like agriculture, healthcare, Graph mining, Education, Security, etc., for providing a clear understanding to readers. Academician, Data Scientist, and Stockbrokers from Industry/Business will find this book useful in knowing optimal strategies for enhancing their firm's productivity"-- |
| Assigning source | Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Big data. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Tyagi, Amit Kumar, |
| Dates associated with a name | 1988- |
| Relator term | editor. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2759779">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2759779</a> |
| Public note | Electronic Resources |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | E-Book |
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