Adventures in Machine Learning Causal Analysis - ML 132
Nov 9, 2023
Pierre Eliseeff, co-founder of Analyzr and causal inference expert, discusses a 3-step blueprint for doing causal analysis, the importance of understanding causality in data analysis, setting the alpha in frequency statistics for decision making, monitoring data sets for model drift, exploring the capabilities of GPT-4 as a personal assistant, augmenting human functionality with AI, reflections on technology and the role of data-driven technologies, and the process of conducting causal analysis.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8
Introduction
00:00 • 3min
The Importance of Causality in Data Analysis
03:12 • 29min
Setting the Alpha in Frequency Statistics for Decision Making
31:58 • 3min
The Importance of Second Passive Analysis and Monitoring Data Sets for Model Drift
34:34 • 11min
Exploring the Capabilities of GPT-4 as a Personal Assistant
45:57 • 3min
Augmenting Human Functionality and the Impact of AI
49:18 • 10min
Reflections on Technology and the Role of Data-Driven Technologies
59:32 • 3min
Causal Analysis and Methodologies
01:02:56 • 3min