Intermediate Lessons

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

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 3: Finite hypothesis class, discretizing infinite hypothesis space

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

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

Stanford Seminar - Toward Better Human-AI Group Decisions

Stanford Seminar - Multi-Sensory Neural Objects: Modeling, Inference, and Applications in Robotics

Women Rise: Sheri Sheppard

Stanford Seminar - Designing Human-Centered AI Systems for Human-AI Collaboration