3 newsletters, ranked by editorial quality and how recently they published. Looking for something more specific? Search instead.
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.
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.
