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
10
Causal Inference & Experimentation
Telling correlation from cause, and measuring whether a change actually helped.
4decks
557cards
Causal Foundations
Potential outcomes, structural causal models, DAGs, confounding, colliders and the do-operator.
Online Experimentation
Power, peeking, sample ratio mismatch, variance reduction, interference and long-term effects.
Observational Causal Methods
Propensity scores, instrumental variables, difference-in-differences, regression discontinuity and synthetic …
Policy Learning & Off-Policy Evaluation
Heterogeneous treatment effects, uplift modelling, importance sampling estimators and doubly robust methods.