dogear

enter for all results · esc to close

Vaughan. CS260: Machine Learning Theory

jennwv.comsite

A broad overview of the theoretical foundations underlying common machine learning algorithms.

from
Theoretical Computer Science
added
2026-10-10
likes
0

similar

  1. Blum. Intro Machine Learning Theory cs.cmu.edu

    .

  2. Agrawal & Jaiswal. When Machine Learning Meets AI and Game Theory cs229.stanford.edu

    .

  3. Blum. An Introduction to the Theory of Machine Learning. TTIC home.ttic.edu

    The basic theory underlying machine learning and the process of generalizing from data.

  4. Shalev-Shwartz. Understanding Machine Learning: From Theory to Algorithms cambridge.org

    It provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms.

  5. CS 261 theory.stanford.edu
  6. Blum, et.al. Machine Learning, Game Theory, and Mechanism Design for a Networked World cs.cmu.edu

    .

Theoretical Computer Science › Lecture Notes: “A broad overview of the theoretical foundations underlying common machine learning algorithms.”