Keynote: Judea Pearl - The New Science of Cause and Effect
PyData LA 2018
The talk will explain why data science should embrace an engine for processing cause-effect relationships. I will describe the structure of this engine, how it has revolutionized the data-intensive sciences and how it is about to revolutiones machine learning.
---
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Видео Keynote: Judea Pearl - The New Science of Cause and Effect канала PyData
The talk will explain why data science should embrace an engine for processing cause-effect relationships. I will describe the structure of this engine, how it has revolutionized the data-intensive sciences and how it is about to revolutiones machine learning.
---
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Видео Keynote: Judea Pearl - The New Science of Cause and Effect канала PyData
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
What is causal inference, and why should data scientists know? by Ludvig HultLectures on Causality: Jonas Peters, Part 1The secrets of learning a new language | Lýdia MachováSummary of The Book of Why by Judea Pearl and Dana MacKenzie | Free AudiobookJudea Pearl: Causal Reasoning, Counterfactuals, and the Path to AGI | Lex Fridman Podcast #56Judea Pearl -- The Foundations of Causal Inference [The Book of WHY]Causal Inference in Data Science From Prediction to Causation by Amit Sharma | DataEngConf NYC '16The Science of ThinkingThe Physics and Philosophy of Time - with Carlo RovelliHigh Performance Data Processing in Python - Donald WhyteKeynote: The Mathematics of Causal Inference: with Reflections on Machine LearningCACM Mar. 2019 - The Seven Tools of Causal InferenceTamara Louie: Applying Statistical Modeling & Machine Learning to Perform Time-Series ForecastingHume on Causation and NecessityArtificial intelligence and algorithms: pros and cons | DW Documentary (AI documentary)The Matter Of Antimatter: Answering The Cosmic Riddle Of ExistenceJudea Pearl, 2011 ACM Turing Award RecipientJames Powell: Design Principles | PyData DC 201614. Causal Inference, Part 1