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Episodes


Stanford Fireside Talks: Robustness in Machine Learning I Robust Machine Learning

AI and Law I Mariano-Florentino Cuéllar, President of the Carnegie Endowment for International Peace

Logic 10 - Recap | Stanford CS221: Artificial Intelligence (Autumn 2021)

Logic 9 - First Order Resolution | Stanford CS221: AI (Autumn 2021)

Logic 8 - First Order Modus Ponens | Stanford CS221: Artificial Intelligence (Autumn 2021)

Logic 7 - First Order Logic | Stanford CS221: AI (Autumn 2021)

Logic 6 - Propositional Resolutions | Stanford CS221: AI (Autumn 2021)

Logic 5 - Propositional Modus Ponens | Stanford CS221: AI (Autumn 2021)

Logic 4 - Inference Rules | Stanford CS221: AI (Autumn 2021)

Logic 3 - Propositional Logic Semantics | Stanford CS221: AI (Autumn 2021)

Logic 2 - Propositional Logic Syntax | Stanford CS221: AI (Autumn 2021)

Logic 1 - Overview: Logic Based Models | Stanford CS221: AI (Autumn 2021)

Bayesian Networks 9 - EM Algorithm | Stanford CS221: AI (Autumn 2021)

Bayesian Networks 8 - Smoothing | Stanford CS221: AI (Autumn 2021)

Bayesian Networks 7 - Supervised Learning | Stanford CS221: AI (Autumn 2021)

Bayesian Networks 6 - Particle Filtering | Stanford CS221: AI (Autumn 2021)

Bayesian Networks 5 - Forward-backward Algorithm | Stanford CS221: AI (Autumn 2021)

Bayesian Networks 4 - Probabilistic Inference | Stanford CS221: AI (Autumn 2021)

Bayesian Networks 3 - Probabilistic Programming | Stanford CS221: AI (Autumn 2021)
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