Applying Data Science

Applying Data Science
Author : Arthur K. Kordon
Publisher : Springer
Total Pages : 494
Release : 2020-09-13
ISBN 10 : 3030363740
ISBN 13 : 9783030363741
Language : EN, FR, DE, ES & NL

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.


RELATED BOOKS:
Applying Data Science
Language: un
Pages: 494
Authors: Arthur K. Kordon
Categories: Computers
Type: BOOK - Published: 2020-09-13 - Publisher: Springer

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,
Applied Data Science
Language: un
Pages: 465
Authors: Martin Braschler, Thilo Stadelmann, Kurt Stockinger
Categories: Computers
Type: BOOK - Published: 2019-06-10 - Publisher: Springer

This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it is not a replacement
Applying Data Science
Language: en
Pages:
Authors: Arthur K. Kordon
Categories: Computers
Type: BOOK - Published: - Publisher: Springer Nature

Books about Applying Data Science
Applying Data Science
Language: en
Pages: 490
Authors: Gerhard Svolba
Categories: Computers
Type: BOOK - Published: 2017-03-29 - Publisher: SAS Institute

See how data science can answer the questions your business faces! Applying Data Science: Business Case Studies Using SAS, by Gerhard Svolba, shows you the benefits of analytics, how to gain more insight into your data, and how to make better decisions. In eight entertaining and real-world case studies, Svolba
Data Science Applied to Sustainability Analysis
Language: un
Pages: 310
Authors: Jennifer Dunn, Prasanna Balaprakash
Categories: Science
Type: BOOK - Published: 2021-05-28 - Publisher: Elsevier

Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable