Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry

Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry
Author :
Publisher : IGI Global
Total Pages : 653
Release :
ISBN-10 : 9781799869863
ISBN-13 : 1799869865
Rating : 4/5 (865 Downloads)

Book Synopsis Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry by : Chkoniya, Valentina

Download or read book Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry written by Chkoniya, Valentina and published by IGI Global. This book was released on 2021-06-25 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.


Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry Related Books

Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry
Language: en
Pages: 653
Authors: Chkoniya, Valentina
Categories: Computers
Type: BOOK - Published: 2021-06-25 - Publisher: IGI Global

GET EBOOK

The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the n
R for Data Science
Language: en
Pages: 521
Authors: Hadley Wickham
Categories: Computers
Type: BOOK - Published: 2016-12-12 - Publisher: "O'Reilly Media, Inc."

GET EBOOK

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R pac
Data Science and Social Research
Language: en
Pages: 292
Authors: N. Carlo Lauro
Categories: Social Science
Type: BOOK - Published: 2017-11-17 - Publisher: Springer

GET EBOOK

This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data scie
Data Science in the Library
Language: en
Pages: 0
Authors: Joel Herndon
Categories: Big data
Type: BOOK - Published: 2022 - Publisher:

GET EBOOK

This book considers the current environment for data driven research, instruction, and consultation from a variety of faculty and library perspectives and sugge
Data Science: From Research to Application
Language: en
Pages: 350
Authors: Mahdi Bohlouli
Categories: Technology & Engineering
Type: BOOK - Published: 2020-01-28 - Publisher: Springer Nature

GET EBOOK

This book presents outstanding theoretical and practical findings in data science and associated interdisciplinary areas. Its main goal is to explore how data s