Flashcards

11,105 cards in 101 decks, written from the same source as the concepts. Space to flip, arrows to move, K and R to sort what you know from what you do not. Progress lives in your browser.

All decks 01Foundations 02Transformer Internals 03Training & Fine-Tuning 04Reinforcement Learning 05Inference, Systems & Hardware 06Applied LLM Engineering 07Reasoning, Evaluation & Safety 08Multimodal & Applications 09Classical ML & Statistical Learning 10Causal Inference & Experimentation 11Time Series & Forecasting 12Graphs, Recommenders & Structured Data 13Generative Modelling Beyond Transformers 14Efficiency, Compression & Edge AI 15Search & Information Retrieval 16Data & Feature Engineering 17MLOps & Platform Engineering 18Security, Privacy & Adversarial ML 19Governance, Risk & Responsible AI 20Human-AI Interaction, Product & Economics

Graphs, Recommenders & Structured Data

Learning over relations, catalogues and columns rather than free text.

4decks

326cards

Graph Neural Networks

Message passing, expressive power and the WL test, over-smoothing, over-squashing and sampling at scale.

74 cards 7 concepts

Knowledge Graphs

Triples and ontologies, entity resolution, embedding-based link prediction, and grounding LLMs in structure.

65 cards 6 concepts

Recommender Systems

Matrix factorisation, two-tower retrieval, ranking objectives, feedback loops and cold start.

120 cards 7 concepts

Tabular Deep Learning

Why trees still win, attention over columns, prior-fitted networks and the benchmarks that decide the argument.

67 cards 6 concepts