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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.
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.
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.
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.
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 |
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.
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.
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 |