Alpha Spaces

Statistics & ML Without the Black Box

A 16-week study journey into algebra, probability, and classical machine learning models.

Explore the history and philosophy of statistics, the difference between probability and statistics, and the role of interpretability in non-deep learning ML.

Learning Objectives
  • Understand the history and philosophy of statistics.
  • Distinguish between probability and statistics.
  • Appreciate the importance of interpretability in ML models.
Test Your Knowledge

Resources

reading

The Art of Statistics

by David Spiegelhalter

View Resource (link)
reading

Why Interpretability Matters

by Distill.pub

View Resource (link)
coding

Law of Large Numbers Demo

by A. Géron

View Resource (code)