Business Analytics with R and Python (AI for Risks)
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Business Analytics with R and Python (AI for Risks)

by Majid Nabavi, David L Olson, Desheng Dash Wu, Cuicui Luo

artificial intelligence Data Science business analytics
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Business Analytics with R and Python (AI for Risks) explores how R, Python, and artificial intelligence can support business analytics focused on risk. The book offers a technology-oriented perspective for readers interested in data-driven analysis, computational methods, and the role of AI in business decision-making.

About This Book

Business Analytics with R and Python (AI for Risks) focuses on the use of analytical programming and artificial intelligence in business contexts.

The book brings together R and Python as tools for working with data and developing analytics-based approaches.

Its subject matter centers on risks, supporting readers interested in the relationship between business analytics, AI, and risk-related decision-making.

Written by Majid Nabavi, David L Olson, Desheng Dash Wu, and Cuicui Luo, it is suited to readers exploring practical and computational perspectives on business risk analysis.

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I will be using this book for: