Pen & Paper Exercises in Machine Learning

me@ryanorban.com (Ryan Orban) — Wed, 29 Jun 2022 00:00:00 +0000

Summary

Michael U. Gutmann at the University of Edinburgh compiled this problem set (arXiv:2206.13446) to address a gap in machine learning education: most practitioners learn ML through code and libraries, building intuition for what functions do but not the mathematical reasoning behind why they work. Pen-and-paper exercises force derivations — you can’t rely on automatic differentiation when you have to compute a gradient by hand.

100 Numpy Exercises

me@ryanorban.com (Ryan Orban) — Fri, 24 Jan 2014 00:00:00 +0000

Summary

Nicolas Rougier’s 100 exercises for NumPy range from beginner to advanced, covering the core operations that make NumPy indispensable for scientific computing in Python. The collection originated at LORIA (Laboratoire Lorrain de Recherche en Informatique et ses Applications) and became a widely-shared resource in the Python data science community.

Exercises on Ryan Orban

Pen & Paper Exercises in Machine Learning

Summary

100 Numpy Exercises

Summary