Probabilistic machine learning
Learning with probability models, priors and uncertainty.
- Bayesian inference for ML
- Latent variable models
- Mixture models and EM
- Gaussian processes
- Bayesian nonparametrics
- Bayesian neural networks
- Uncertainty quantification
- Conformal prediction
- Approximate Bayesian computation
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