Weekend Reading
If correlation doesn’t imply causation, then what does?
Before you can really understand AB tests, regression, and machine learning for data science, you have to understand the difference between observation and intervention.
Making Bayesian A/B testing more accessible
# Twitter ML Acquisition
Twitter Pays $13 Million Per Machine Learning Ph.D.
Why Twitter bought Magic Pony
# ML and Deep Learning
Pinterest's New Tools to Make Shopping Easier
Use of Image recognition and visual search on a massive scale to help customers find what they want
Using Deep Learning in Meteorology
This results in dramatic improvement in performance. What needs several hours of computations on a $40mm supercomputer can be done in less than 0.1 seconds on a laptop!!
How to Start Learning Deep Learning
Satya Nadella on AI
Explores how humans and A.I. can work together to solve society’s greatest challenges.
# Are Machines Just? Or they also have bias like us Humans?
Machine Bias
Artificial Intelligence’s White Guy Problem
# Maths: No equation involved, but highlights interesting aspects of Maths!
The Triumph (And Failure) Of John Nash’s Game Theory
These days, political scientists, evolutionary biologists, and even government regulators are obliged to grasp best-response equilibria and other aspects of game theory. Why so?
Waiting For Gödel
Gödel’s masterpiece was his incompleteness theorem, which ranks in scientific folklore with Einstein’s relativity and Heisenberg’s uncertainty.
# Economics
A good review of the book written by Mervyn King, former Bank of England governor. Paul Krugman has provided a nice perspective. Krugman’s NYRB reviews are quite a good resource.

















