Artificial Intelligence and Machine Learning with R: applications in the field of business analytics

By:

Heesen, Bernd

Material type: Text

TextPublication details: Germany: Springer Nature; c2024.Description: viii, 493pISBN:

9783658453916

Subject(s):

DDC classification:

650.0285 HEE

Summary: 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.

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Holdings
Item type	Current library	Call number	Status	Barcode
Book	IMI Delhi	650.0285 HEE (Browse shelf(Opens below))	Available	22377

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Previous	634.99 RAJ Agroforestry: theory and practices	641.59 STR Street food culture, economy, health and governance	641.595456 PAN From the king's table to street food a food history of Delhi	650.0285 HEE Artificial Intelligence and Machine Learning with R: applications in the field of business analytics	650.028563 PAR Confident AI : the essential skills for working with artificial intelligence /	650.028563 SMI The AI revolution in customer service and support : a practical guide to impactful deployment of AI to best serve your customers	650.1 EFF 8 steps to high performance : focus on what you can change (ignore the rest)	Next

Includes bibliographical references.

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.

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