Overview
- Growing discipline of data science is creating enormous business opportunities for converting data into value
- Book is ideal for data scientists, managers, and entrepreneurs who will implement the proposed methodologies and techniques in their projects
- Also useful for academics and students looking for an industrial view of this discipline
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (17 chapters)
-
Front Matter
Keywords
About this book
This book offers practical guidelines on creating value from the application of data science based on selected artificial intelligence methods.
In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations of key technologies: machine learning, deep learning, decision trees and random forests, evolutionary computation, swarm intelligence, and intelligent agents. In Part II, he describes the main steps in creating AI-based data science solutions for business problems, including problem knowledge acquisition, data preparation, data analysis, model development, and model deployment lifecycle. Finally, in Part III the author illustrates the power of AI-based data science with successful applications in manufacturing and business. He also shows how to introduce this technology in a business setting and guides the reader on how to build the appropriate infrastructure and develop the required skillsets.
The book is ideal for data scientists who will implement the proposed methodology and techniques in their projects. It is also intended to help business leaders and entrepreneurs who want to create competitive advantage by using AI-based data science, as well as academics and students looking for an industrial view of this discipline.
Authors and Affiliations
About the author
Dr. Arthur Kordon is an internationally recognized expert in applying data science, advanced analytics and artificial intelligence in industry. He has solved meaningful business problems with these technologies generating substantial economic effect. Dr. Kordon also has successfully advised several large and renowned enterprises on how to integrate AI into their organizations and trained their employees. He knows and has an impressive record on how businesses can create value with AI.
Bibliographic Information
Book Title: Applying Data Science
Book Subtitle: How to Create Value with Artificial Intelligence
Authors: Arthur K. Kordon
DOI: https://doi.org/10.1007/978-3-030-36375-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-36374-1Published: 13 September 2020
Softcover ISBN: 978-3-030-36377-2Published: 14 September 2021
eBook ISBN: 978-3-030-36375-8Published: 12 September 2020
Edition Number: 1
Number of Pages: XXXII, 494
Number of Illustrations: 67 b/w illustrations, 195 illustrations in colour
Topics: Artificial Intelligence, Big Data/Analytics, Data Mining and Knowledge Discovery, Big Data, Computational Intelligence