2 newsletters, ranked by editorial quality and how recently they published. Looking for something more specific? Search instead.
A personal learning log in which the author rebuilds their machine learning foundations, explaining PyTorch concepts and ML jargon in plain language. Posts include TL;DR sections, code notebooks and glossary entries that answer beginner-style questions.
A learning-in-public log of practical coding and 3D modeling exercises, including Python virtual environments for PyGame and building cogs in Blender. Each issue gives step-by-step instructions plus brief findings on which method worked best.
One short email a week with hand-picked newsletters from the index. Free, no spam, unsubscribe anytime.
