Search results
- books.google.com
- › Computers
- › Artificial Intelligence
- › General
May 15, 2018 · The causal revolution, sparked by world-renowned computer scientist Judea Pearl and his colleagues, has cut through a century of confusion and placed cause and effect on a firm scientific...
Aug 25, 2020 · The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions ...
- www.amazon.com
- › …
- › Kindle eBooks
- › Computers & Technology
May 15, 2018 · The Book of Why: The New Science of Cause and Effect Illustrated Edition, Kindle Edition. by Judea Pearl (Author), Dana Mackenzie (Author) Format: Kindle Edition. 4.4 2,092 ratings. See all formats and editions.
- Judea Pearl, Dana Mackenzie
May 15, 2018 · "Pearl, Judea and Mackenzie, Dana: The book of why: the new science of cause and effect (2018)" by Karamjit S. Gill, AI & Society, April 15, 2020 Interview with Josh Glancy, The Times, UK , January 12, 2020
- books.google.com
- › Computers
- › Artificial Intelligence
- › General
May 15, 2018 · The Book of Why: The New Science of Cause and Effect. Judea Pearl, Dana Mackenzie. Basic Books, May 15, 2018 - Computers - 432 pages. A Turing Award-winning computer scientist and...
The Book of Why: The New Science of Cause and Effect Paperback – Aug. 25 2020. by Judea Pearl (Author), Dana Mackenzie (Author) 4.4 2,078 ratings. #1 Best Seller in Biostatistics. See all formats and editions. Great on Kindle. Great Experience. Great Value. Enjoy a great reading experience when you buy the Kindle edition of this book.
- Judea Pearl, Dana Mackenzie
Aug 25, 2020 · By Dana Mackenzie. $19.99. Format: Trade Paperback $19.99. ebook $13.99. Also available from: Amazon. Barnes & Noble. Books-A-Million. Bookshop. Target. Walmart. Description. A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence.
