cs229.stanford.edu
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Stanford's CS229: Machine Learning course page, providing lecture slides and notes that cover theoretical and algorithmic aspects of ML. It also hosts course materials such as problem sets, assignments, and reading lists used in the class.
More resources on Theoretical Machine Learning
Distill.pub
Interactive ML theory articles (free, practitioner favorite)
Theoretical Machine Learning
Learn core theoretical machine learning concepts with this MIT course by Leslie Kaelbling et al. Dive into algorithms, analysis, and more!
Learning From Data
Master theoretical machine learning with Yaser Abu-Mostafa's renowned "Learning From Data" course. Explore fundamental concepts and algorithms.
towardsdatascience.com
Towards Data Science is a popular online publication that hosts articles from various authors on data science and machine learning. It offers tutorials, explainers, and case studies spanning practical coding guides to theoretical concepts in AI/ML.
Understanding Machine Learning: From Theory to Algorithms
Understanding Machine Learning: From Theory to Algorithms - A book resource
mltheory.org
ML Theory is a resource hub for theoretical machine learning, featuring lecture notes, tutorials, and reading lists on topics like learning theory, optimization, and generalization, along with course materials and research papers.