5 articles
Complete deeplearning.ai notes for Andrew Ng's Coursera Deep Learning Specialization — all 5 courses, neural networks, optimization, CNNs, sequence models, and NLP transformers, organized for studying.
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Complete study notes for 3Blue1Brown's Essence of Calculus series — derivatives, integrals, chain rule, implicit differentiation, limits, Taylor series, and the fundamental theorem, chapter by chapter.
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Complete fast.ai notes for Jeremy Howard's Practical Deep Learning for Coders course — transfer learning, fine-tuning, CNNs, NLP, tabular data, and deployment, lesson by lesson.
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Complete MIT linear algebra notes for Gilbert Strang's legendary 18.06 course — vectors, matrices, determinants, eigenvalues, and SVD, organized so you can study from them directly.
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The most complete set of Harvard CS50 notes available — covering every lecture from Week 0 (Scratch) through Week 10 (Emoji), with key concepts, pseudocode, and the exam-ready summaries students actually need.
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