Skip to content

Andrew Fairless, Ph.D.

Data, Science, and Tinkering

Overview
Experience and Education
Publications
SHAP Tutorial
Understanding the Basics of Bayesian Linear Regression
Classifying Medicine
The Peanuts Project

Search for:

Search for:

What I Read: Mathematics, ML

Home/What I Learn/What I Read: Mathematics, ML

By BylineAndrew Fairless on March 20, 2025November 25, 2024

https://thegradient.pub/shape-symmetry-structure

Shape, Symmetries, and Structure: The Changing Role of Mathematics in Machine Learning Research
Henry Kvinge
16.Nov.2024

“What is the Role of Mathematics in Modern Machine Learning?”

Cat Links What I Learn Tag Links computer vision convolutional neural network geometry machine learning mathematics neural network symmetry topology

Post navigation

What I Read: Polars vs pandasPrev post

What I Read: simulations, chaos testingNext post

Categories

Bayesian statistics Machine Learning Statistics What I Learn What I Make

Tags

artificial intelligence attention Bayesian chatbot cognition computer vision database data engineering data science deployment DevOps economics efficiency embedding generalization generative GPU graph healthcare image interpretability large language model latency linear algebra machine learning medicine MLOps monitoring natural language processing neural network neuroscience optimization pipeline probability Python recurrent regression reinforcement learning scalability software engineering SQL statistics training transformer unit test

Copyright © 2025 Andrew Fairless, Ph.D.. All Rights Reserved. | Simple Persona by Catch Themes

Scroll Up