Inhoudsopgave:
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\u003cp\u003e\u003cb\u003eDiscover the next major revolution in data science and AI and how it applies to your organization\u003c/b\u003e \u003cp\u003eIn \u003ci\u003eCausal Artificial Intelligence: The Next Step in Effective, Efficient, and Practical AI\u003c/i\u003e, a team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book\u0026rsquo;s discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings. \u003cp\u003eUseful for both data scientists and business-side professionals, the book offers: \u003cul\u003e \u003cli\u003eClear and compelling descriptions of the concept of causality and how it can benefit your organization\u003c/li\u003e \u003cli\u003eDetailed use cases and examples that vividly demonstrate the value of causality for solving business problems\u003c/li\u003e \u003cli\u003eUseful strategies for deciding when to use correlation-based approaches and when to use causal inference\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eAn enlightening and easy-to-understand treatment of an essential business topic, \u003ci\u003eCausal Artificial Intelligence\u003c/i\u003e is a must-read for data scientists, subject matter experts, and business leaders seeking to familiarize themselves with a rapidly growing area of AI application and research. |
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