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Artificial Intelligence and Machine Learning with R
Applications in the Field of Business Analytics
Taschenbuch von Bernd Heesen
Sprache: Englisch

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Beschreibung
In a VUCA world, which is becoming increasingly volatile, uncertain, and complex, companies, organizations, and states must respond promptly and adequately to the respective situations. Making decisions based on past experiences is less successful in these times than having an accurate understanding of current conditions. The importance of empirical sciences, continuous environmental observation, timely analysis of causal relationships, and deriving new insights from them is increasing. From this, it can be deduced which measures are likely to achieve one's goals with predictable probability, such as which price for an offer generates the desired demand or which marketing measure reaches the desired target group.

Where classical statistics were once used for calculations and predictions, today free (open source) tools like R allow data in various formats and from any number of sources to be read in, processed, and analyzed using methods of Artificial Intelligence and Machine Learning. The results can then be perfectly visualized so that decision-makers can benefit quickly and effectively.

The age of Data Science has arrived. Digitalization is more than a buzzword or a promise; it is actionable and usable for everyone.

This book teaches you, based on the latest version of R at the time of publication, how to use Artificial Intelligence and Machine Learning in Industry 4.0.
In a VUCA world, which is becoming increasingly volatile, uncertain, and complex, companies, organizations, and states must respond promptly and adequately to the respective situations. Making decisions based on past experiences is less successful in these times than having an accurate understanding of current conditions. The importance of empirical sciences, continuous environmental observation, timely analysis of causal relationships, and deriving new insights from them is increasing. From this, it can be deduced which measures are likely to achieve one's goals with predictable probability, such as which price for an offer generates the desired demand or which marketing measure reaches the desired target group.

Where classical statistics were once used for calculations and predictions, today free (open source) tools like R allow data in various formats and from any number of sources to be read in, processed, and analyzed using methods of Artificial Intelligence and Machine Learning. The results can then be perfectly visualized so that decision-makers can benefit quickly and effectively.

The age of Data Science has arrived. Digitalization is more than a buzzword or a promise; it is actionable and usable for everyone.

This book teaches you, based on the latest version of R at the time of publication, how to use Artificial Intelligence and Machine Learning in Industry 4.0.
Über den Autor

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.

Inhaltsverzeichnis

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.

Details
Erscheinungsjahr: 2024
Fachbereich: Anwendungs-Software
Genre: Informatik, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xiii
493 S.
258 s/w Illustr.
190 farbige Illustr.
493 p. 448 illus.
190 illus. in color.
ISBN-13: 9783658453916
ISBN-10: 3658453915
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Heesen, Bernd
Hersteller: Springer Fachmedien Wiesbaden
Springer Fachmedien Wiesbaden GmbH
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 240 x 168 x 26 mm
Von/Mit: Bernd Heesen
Erscheinungsdatum: 19.09.2024
Gewicht: 0,946 kg
Artikel-ID: 129534294
Über den Autor

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.

Inhaltsverzeichnis

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.

Details
Erscheinungsjahr: 2024
Fachbereich: Anwendungs-Software
Genre: Informatik, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xiii
493 S.
258 s/w Illustr.
190 farbige Illustr.
493 p. 448 illus.
190 illus. in color.
ISBN-13: 9783658453916
ISBN-10: 3658453915
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Heesen, Bernd
Hersteller: Springer Fachmedien Wiesbaden
Springer Fachmedien Wiesbaden GmbH
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 240 x 168 x 26 mm
Von/Mit: Bernd Heesen
Erscheinungsdatum: 19.09.2024
Gewicht: 0,946 kg
Artikel-ID: 129534294
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