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AI 601 · Year 5 · Semester 1 · 3 credits · AI & Machine Learning
Probabilistic Machine Learning & Uncertainty Quantification
Gaussian processes, Bayesian deep learning, conformal prediction and distributional regression for calibrated predictive distributions in pricing and capital.
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Generate the full series — one film per topic (6 topics), each with slides, narration script, worked example, checkpoints and practice. It is shared with every student once built.
Sign in to generateTopics: Gaussian processes · Variational inference · Bayesian deep learning · Conformal prediction · Distributional regression · Proper scoring rules