Browse Lessons

Stanford Webinar - Digital Transformation: Beyond the Technology

Stanford Seminar - Can we govern algorithms with science?

Rafael Castro talks about his experience in Stanford's Digital Transformation Program

Learner Spotlight: Andrew Pelosi

Andrew Pelosi talks about his experience in Stanford's Digital Transformation Program

Stanford Seminar - Understanding the Utility of Haptic Feedback in Telerobotic Devices

Stanford Seminar - Democratizing Robot Learning

Stanford Webinar - From Product Management to Venture Capital: A Conversation with Ashmeet Sidana

Stanford CS229M - Lecture 20: Spectral clustering

Stanford CS229M - Lecture 19: Mixture of Gaussians, spectral clustering

Stanford CS229M - Lecture 18: Unsupervised learning, mixture of Gaussians, moment methods

Stanford CS229M - Lecture 17: Implicit regularization effect of the noise

Stanford CS229M - Lecture 16: Implicit regularization in classification problems

Stanford CS229M - Lecture 15: Implicit regularization effect of initialization

Stanford Seminar - Highly optimized quantum circuits synthesized via data-flow engines

Stanford CS229M - Lecture 14: Neural Tangent Kernel, Implicit regularization of gradient descent

Stanford Seminar - Anytime Anywhere All At Once: Data Analytics in the Metaverse

Stanford CS229M - Lecture 13: Neural Tangent Kernel

Stanford CS229M - Lecture 11: All-layer margin

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

Meet Joe Lapin, Innovation and Entrepreneurship Program Completer

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

Stanford Seminar - Adaptable Robotic Manipulation Using Tactile Sensors

Stanford Seminar - ML Explainability Part 4 I Evaluating Model Interpretations/Explanations

Stanford Seminar - Making Teamwork an Objective Discipline - Sid Sijbrandij CEO & Chairman of GitLab

Stanford Webinar - CRISPR - 10 Years of Genome Editing and More

Kratika Gupta talks about Stanford's Product Management Program

Stanford Seminar - ML Explainability Part 3 I Post hoc Explanation Methods

Stanford Seminar - ML Explainability Part 2 I Inherently Interpretable Models

Stanford Seminar - ML Explainability Part 1 I Overview and Motivation for Explainability

Stanford Seminar - Towards Generalizable Autonomy: Duality of Discovery & Bias

Stanford Seminar - Ethics Governance-in-the-Making: Bridging Ethics Work & Governance Menlo Report