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Gabriel Peyre presents The Mathematical Nexus, a collection of 800 animated vignettes and 140 Python notebooks covering most of his mathematical content shared on social media.
Keio University has made public lecture slides for Digital Signal Processing and Natural Language Processing, available for anyone to use for learning.
A Twitter post compiles free robotics course links from top universities including MIT, Stanford, and Carnegie Mellon, providing a curated list for learners.
Recommendation of four free and open-access textbooks by Professor Giacomo Bonanno of UC Davis, covering game theory, decision making, uncertainty risk and information, and the economics of uncertainty and insurance, with accompanying videos and exercises.
Tokyo Institute of Technology has released free machine learning course materials covering topics like regression, neural networks, SVM, clustering, and PCA, with hands-on code using NumPy, scikit-learn, and PyTorch.
This article lists 50 free and legal online tools and resource websites, covering video downloading, image processing, AI assistance, academic search, programming tools, and more, all free to use.
A compilation of 9 Stanford University lectures covering transformers and LLMs in depth, with links to YouTube videos.
A curated GitHub collection (Mathematics for Machine Learning) that organizes books, papers, video lectures, and math basics for learning the math behind machine learning, covering linear algebra, calculus, probability, statistics, and more.
A blog post listing the 8 best convolutional neural network resources, including courses from Udacity, deeplearning.ai, Datacamp, and Udemy.
Introduces an open-source book, 'Mathematical Foundations of Reinforcement Learning,' which offers a rigorous yet accessible mathematical approach to RL, using grid world examples to clarify algorithmic logic.
A curated playlist has been created for Stanford's CS153 Systems course '26 lectures, which are regularly uploaded to the official Stanford online YouTube channel.