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Artificial intelligence and machine learning with Rapplications in the field of business analytics /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence and machine learning with Rby Bernd Heesen.
Reminder of title:	applications in the field of business analytics /
Author:	Heesen, Bernd.
Published:	Wiesbaden :Springer Fachmedien Wiesbaden :2024.
Description:	xiii, 493 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Business intelligenceData processing.
Online resource:	https://doi.org/10.1007/978-3-658-45392-3
ISBN:	9783658453923$q(electronic bk.)

Artificial intelligence and machine learning with Rapplications in the field of business analytics /
Heesen, Bernd.

Artificial intelligence and machine learning with Rapplications in the field of business analytics /[electronic resource] :by Bernd Heesen. - Wiesbaden :Springer Fachmedien Wiesbaden :2024. - xiii, 493 p. :ill. (some col.), digital ;24 cm.

Benefits of Machine Learning and Artificial Intelligence -- Machine Learning -- Best Practices -- Setting Up the R Development Environment -- Fundamentals of the R Programming Language -- Machine Learning with R -- Application of Machine Learning with R -- Outlook.

This book teaches you, based on the open-source programming language R, how to read, process, and analyze data from various formats and sources, and how to use Artificial Intelligence and Machine Learning in your company. It specifically explains the three types of Machine Learning and selected, widely-used algorithms that form the basis of Artificial Intelligence. Additionally, the author provides you with the datasets used through his R package "machinelearning," so you can run the code examples presented in the book yourself. The package also includes interactive self-learning tutorials for R. Contents Benefits of Machine Learning and Artificial Intelligence Best Practices Fundamentals of the R Programming Language Fundamentals of Machine Learning with R, including preprocessing, exploratory data analysis, modeling, evaluation, and parameter tuning Application of Machine Learning with R for predictions, classification, clustering, and recommendation systems The Author Bernd Heesen is a professor at the Faculty of Economics at Ansbach University of Applied Sciences in Bavaria. Before his tenure at the university, he worked for more than 10 years as a business consultant both domestically and internationally. He continues to advise companies on the use of IT innovations. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com) A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

ISBN: 9783658453923$q(electronic bk.)

Standard No.: 10.1007/978-3-658-45392-3doiSubjects--Topical Terms:

283177
Business intelligence
--Data processing.

LC Class. No.: HD38.7 / .H44 2024

Dewey Class. No.: 658.4720285

Artificial intelligence and machine learning with Rapplications in the field of business analytics /
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