1
Causality – Hey, We Have Machine Learning, So Why Even Bother?
Our journey starts here.
In this chapter, we’ll ask a couple of questions about causality.
What is it? Is causal inference different from statistical inference? If so – how?
Do we need causality at all if machine learning seems good enough?
If you have been following the fast-changing machine learning landscape over the last 5 to 10 years, you have likely noticed many examples of – as we like to call it in the machine learning community – the unreasonable effectiveness of modern machine learning algorithms in computer vision, natural language processing, and other areas.
Algorithms such as DALL-E 2 or GPT-3/4 made it not only to the consciousness of the research community but ...
Get Causal Inference and Discovery in Python now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
