#5340
Mentioned in 13 episodes
The Book of Why
The New Science of Cause and Effect
Book • 2018
In 'The Book of Why', Judea Pearl and Dana Mackenzie delve into the causal revolution, which has transformed the way we distinguish between correlation and causation.
The book introduces causal diagrams, such as Directed Acyclic Graphs (DAGs), and explains how to predict the effects of interventions.
It addresses fundamental questions about causality and its implications in fields like medicine, economics, and artificial intelligence.
The authors also discuss the potential of causal inference in enabling computers to understand counterfactuals and engage in moral decision-making.
The book introduces causal diagrams, such as Directed Acyclic Graphs (DAGs), and explains how to predict the effects of interventions.
It addresses fundamental questions about causality and its implications in fields like medicine, economics, and artificial intelligence.
The authors also discuss the potential of causal inference in enabling computers to understand counterfactuals and engage in moral decision-making.
Mentioned by
Mentioned in 13 episodes
Mentioned by 
George Hotz in the context of counterfactuals and their importance in autonomous driving.
George Hotz in the context of counterfactuals and their importance in autonomous driving.
76 snips
George Hotz: Comma.ai, OpenPilot, and Autonomous Vehicles
Mentioned by Steve Sloman as a popular book containing ideas from 'Causality'.
21 snips
The True Cost of Conviction
Mentioned by 
Sean M. Carroll as a popular book from 2018 explaining the new science of cause and effect.
Sean M. Carroll as a popular book from 2018 explaining the new science of cause and effect.
18 snips
196 | Judea Pearl on Cause and Effect
Mentioned by Helge Tennø in relation to causal diagrams and understanding relationships between data points.
14 snips
#114 - Bringing Customers Back to the Heart of Business - with Helge Tennø
Mentioned by Paul Hünermund as a book that created a lot of attention in the industry about causal AI and causal machine learning techniques.
#168 Causal AI in Business with Paul Hünermund, Assistant Professor, Copenhagen Business School
Mentioned by 
Curt Jaimungal as an author of a book on causation, with some objections from Tim Maudlin .
Curt Jaimungal as an author of a book on causation, with some objections from Tim Maudlin .
Tim Maudlin on Quantum Realism, Bell's Theorem, Pilot Wave, and Interpretations of Quantum Mechanics
Mentioned by Eric Topol as containing great examples of causation and correlation.
Adam Kucharski: The Uncertain Science of Certainty
Mentioned by Pierpaolo Hipolito as a good starting point for understanding causal reasoning and paradoxes in data science.
Navigating Common Pitfalls in Data Science: Lessons from Pierpaolo Hipolito - ML 183
Mentioned by Sean Carroll in response to a listener's suggestion for a future podcast guest.
AMA | February 2021
