Tom Yeh's newsletter teaches AI math, algorithms and model architectures through hand-worked examples and Excel spreadsheets, plus announcements for guest seminars. Readers get step-by-step walkthroughs of topics such as RNNs and small language models, with downloadable live calculations.

Technical posts by a machine learning researcher on efficient deep learning, covering experiment management, quantization-aware training and GPU kernel implementation. Readers get practical advice and first-hand research findings, including code walkthroughs in Triton.

Jeremy Jordan's blog-style newsletter mixes personal reflections on building software with coding agents (the 'continuous work' idea) and in-depth machine learning tutorials on distributed neural network training and the Transformer architecture. Readers get practical notes on agent-driven development alongside careful, math-backed explanations of deep learning fundamentals.

Alta Cognita is a research blog-style newsletter exploring deep learning, often written by or with academic researchers presenting their papers. Readers get accessible explanations of model interpretability, attribution, and unsupervised accuracy estimation under distribution shift.