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.
Website: https://www.altacognita.com/
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.
A weekly roundup of deep learning news covering industry launches, MLOps and agent tooling, learning resources and new research papers. Each issue gives short descriptions with key figures and links to the original sources.
One short email a week with hand-picked newsletters from the index. Free, no spam, unsubscribe anytime.
