The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Causality 101 with Robert Osazuwa Ness - #342

Jan 27, 2020

39:32

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Episode notes

Introduction

3min

The Importance of Causality in Machine Learning

5min

The Rise of Causality in Machine Learning

4min

The Importance of Causal Inference in Machine Learning

5min

The Importance of Causality in Machine Learning

3min

How to Identify Latent Causes in a Multivariate Setting

2min

The Future of Causality

2min

The Future of Causality in Machine Learning

2min

How to Break Into New Opportunities Around Cutting-Edge AI

4min

10.

Probabilistic Programming and Model-Based Machine Learning

2min

11.

The Philosophy of Model-Based Machine Learning

2min

12.

The Importance of Causality in Artificial Intelligence

4min

Today Robert Osazuwa Ness, ML Research Engineer at Gamalon and Instructor at Northeastern University joins us to discuss Causality, what it means, and how that meaning changes across domains and users, and our upcoming study group based around his new course sequence, “Causal Modeling in Machine Learning," for which you can find details at twimlai.com/community.