Casual Artificial Intelligence
(eAudiobook)

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Published
G&D Media, 2023.
Status
Available Online

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Physical Description
10h 56m 0s
Format
eAudiobook
Language
English
ISBN
9781722552749

Citations

APA Citation, 7th Edition (style guide)

Judith S. Hurwitz., Judith S. Hurwitz|AUTHOR., John K. Thompson|AUTHOR., & Tim Andres Pabon|READER. (2023). Casual Artificial Intelligence . G&D Media.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Judith S. Hurwitz et al.. 2023. Casual Artificial Intelligence. G&D Media.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Judith S. Hurwitz et al.. Casual Artificial Intelligence G&D Media, 2023.

MLA Citation, 9th Edition (style guide)

Judith S. Hurwitz, Judith S. Hurwitz|AUTHOR, John K. Thompson|AUTHOR, and Tim Andres Pabon|READER. Casual Artificial Intelligence G&D Media, 2023.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouping Information

Grouped Work ID46bd137d-fdb8-22f5-ebc6-6e61720af8d1-eng
Full titlecasual artificial intelligence
Authorhurwitz judith s
Grouping Categorybook
Last Update2024-05-16 02:01:01AM
Last Indexed2024-06-26 03:01:00AM

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    [synopsis] => In Causal Artificial Intelligence: The Next Step in Effective, Efficient, and Practical AI, 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's discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings.

Useful for both data scientists and business-side professionals, the book offers:
•	 Clear and compelling descriptions of the concept of causality and how it can benefit your organization
•	 Detailed use cases and examples that vividly demonstrate the value of causality for solving business problems
•	 Useful strategies for deciding when to use correlation-based approaches and when to use causal inferenceAn enlightening and easy-to-understand treatment of an essential business topic, Causal Artificial Intelligence 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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