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overview 👋
1. ai
1.1. representations
1.2. psychology
1.3. fairness, sts
1.4. philosophy
1.5. ai futures
1.6. cognitive science
1.7. llms
1.8. logic
1.9. search
1.10. decisions, rl
2. math
2.1. linear algebra
2.2. optimization
2.3. differential equations
2.4. chaos
2.5. math basics
2.6. signals
2.7. calculus
2.8. proofs
2.9. real analysis
3. ml
3.1. unsupervised
3.2. structure learning
3.3. learning theory
3.4. deep learning
3.5. computer vision
3.6. kernels
3.7. nlp
3.8. feature selection
3.9. evaluation
3.10. classification
4. stat
4.1. time series
4.2. graphical models
4.3. causal inference
4.4. game theory
4.5. info theory
4.6. linear models
4.7. data analysis
4.8. testing
5. neuro
5.1. motor system
5.2. memory
5.3. development
5.4. sensory input
5.5. comp neuro
5.6. disease
5.7. vision
5.8. brain basics
6. cs
6.1. cs theory
6.2. graphs
6.3. info retrieval
6.4. data structures
6.5. os
6.6. quantum
6.7. software engineering
6.8. algorithms
6.9. architecture
6.10. languages
6.11. reproducibility
7. research_ovws
7.1. disentanglement
7.2. uncertainty
7.3. generalization
7.4. causal inference
7.5. omics
7.6. ml in medicine
7.7. llms
7.8. transfer learning
7.9. interpretability
7.10. complexity
7.11. dl theory
7.12. scattering transform
7.13. interesting science
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research_ovws
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