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Episodes


Stanford CS229M - Lecture 10: Generalization bounds for deep nets

Stanford CS229M - Lecture 9: Covering number approach, Dudley Theorem

Stanford Seminar - Get in touch: Tactile perception for human-robot systems

Stanford CS229M - Lecture 8: Refined generalization bounds for neural nets, Kernel methods

Stanford Seminar - Optimizing the Internet

Stanford CS229M - Lecture 7: Challenges in DL theory, generalization bounds for neural nets

Stanford CS229M - Lecture 6: Margin theory and Rademacher complexity for linear models

Stanford CS229M - Lecture 5: Rademacher complexity, empirical Rademacher complexity

Stanford Seminar - Bridging AI & HCI: Incorporating Human Values into the Development of AI Tech

Stanford CS229M - Lecture 4: Advanced concentration inequalities

Stanford Seminar - Decentralized Finance (DeFi)

Stanford CS229M - Lecture 3: Finite hypothesis class, discretizing infinite hypothesis space

Stanford CS229M - Lecture 2: Asymptotic analysis, uniform convergence, Hoeffding inequality

Stanford CS229M - Lecture 1: Overview, supervised learning, empirical risk minimization

Stanford Webinar - The Digital Future of Health

Stanford Seminar - Alphy and Alphy Reflect: creating a reflective mirror to advance women

Stanford Seminar: Social Media Scrutiny of Frontline Professionals & Implications for Accountability

Stanford Seminar - ML Explainability Part 5 I Future of Model Understanding

Stanford Seminar - Adaptable Robotic Manipulation Using Tactile Sensors
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