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Notes on ML, AI, and neuroscience

Computer science

Overview
Data structures
Algorithms
Languages and parallel computing
Architecture
Operating systems
Information retrieval and databases
Theory of computation
Quantum computing

Mathematics

Overview
Math basics
Calculus
Linear algebra
Differential equations
Real analysis
Optimization
Signal processing
Nonlinear dynamics and chaos

Statistics

Overview
Stat basics
Data science
Testing
Linear models
Time series
Information theory
Graphical models
Causal inference

Machine learning

Overview
Classification
Evaluation
Unsupervised
Kernels
Deep learning
Computer vision
NLP
Learning theory

Artificial intelligence

Overview
Search and logic
RL and decisions
LLMs
Psychology
Cognitive science
Philosophy
Fairness and STS
AI futures

Neuroscience

Overview
Brain basics
Sensory input
Vision
Motor system
Memory
Development
Disease
Computational neuroscience

Research overviews

Overview
Interesting science
ML in medicine
Embeddings
LLMs
Transfer learning
Uncertainty
Interpretability
Generalization
Disentanglement
Causal inference
Omics
Scattering transform
Complexity
Deep learning theory

Reference

Glossary
Interactive figures

Search

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By Chandan Singh

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