Computer science
Harvard CS50 (2026) — Complete Course Study Pack
Beginner · 24h 29mA timestamped course map for Scratch, C, algorithms, memory, Python, SQL, AI, web development, and Flask.
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Study a complete course with every concept linked back to its source.
These public study packs turn long educational videos into searchable course maps, chapter summaries, and timestamped review material. Use them to decide what to watch, revisit a difficult concept, or verify a note against the original lecture.
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10 complete courses, organized for review.
Deep learning
MIT 6.S191 2024 — Deep Learning Intro Study Pack
Intermediate · 8 lecturesA chapter-by-chapter guide to neural networks, CNNs, transformers, generative models, reinforcement learning, and LLMs.
Open study packNatural language processing
Stanford CS224N 2024 — NLP with Transformers Study Pack
Advanced · 14 lecturesA timestamped map of word vectors, attention, pretraining, fine-tuning, question answering, and language generation.
Open study packMachine learning
Andrew Ng Machine Learning — Stanford CS229 Study Pack
Intermediate · 20 lecturesA course companion for regression, classification, support vector machines, neural networks, unsupervised learning, and reinforcement learning.
Open study packDeep learning
Deep Learning Specialization — Andrew Ng Study Pack
Intermediate · 5 coursesA structured review of neural networks, optimization, convolutional networks, and sequence models.
Open study packComputer vision
Stanford CS231N — CNNs and Computer Vision Study Pack
Advanced · 16 lecturesA chapter guide to convolutional networks, object detection, segmentation, and computer vision architectures.
Open study packReinforcement learning
DeepMind RL Course — Reinforcement Learning Study Pack
Advanced · 10 lecturesA timestamped study guide to Markov decision processes, dynamic programming, temporal-difference learning, and policy gradients.
Open study packArtificial intelligence
Sebastian Thrun Intro to AI — Stanford CS221 Study Pack
Intermediate · 21 lecturesA structured course map for search, logic, Bayes nets, hidden Markov models, and machine learning.
Open study packApplied deep learning
fast.ai Practical Deep Learning — Jeremy Howard Study Pack
Intermediate · 7 lessonsA practical learning path through transfer learning, NLP, tabular models, embeddings, and data ethics.
Open study packNatural language processing
Oxford Deep Learning for NLP — Transformers Study Pack
Advanced · 6 lecturesA timestamped introduction to word vectors, recurrent networks, attention, transformers, BERT, and pretrained language models.
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