Book of Why
Details
Title : Book of Why Author(s): Judea Pearl, Dana Mackenzie
Summary
Introduction and survey of recent advances in causality, starting from a historical perspective regarding its view in classical statistics, up to its current relevance to machine learning in the current age of big data. Also shows how many paradoxes can be explained by looking at them from a causal lens.
Quick points
Rough Notes
Thoughts
- Is sensitivity analysis used in machine learning?
- What is the relation between the Monty Hall problem and Quantum Mechanics.