Beginner Lessons

Stanford EE259 Principles of Sensing for Autonomy I Introduction, GPS overview I 2023 I Lecture 1

Emerging Technologies: Designing Strategy and Forecasting Disruption I Program Overview

Stanford Webinar - Democratizing Model Discovery with Neural Networks

Transforming Healthcare Through Big Data, Analytics, and AI I Stanford Online Course Overview

Stanford Professor Chris Manning: Ask About AI - Full Version

Stanford Seminar - Foundations of Spatial Perception for Robotics

Stanford CS25: V3 I Beyond LLMs: Agents, Emergent Abilities, Intermediate-Guided Reasoning, BabyLM

Stanford CS224W: Machine Learning w/ Graphs I 2023 I Trustworthy Graph AI, Rex Ying

Stanford CS224W: Machine Learning w/ Graphs I 2023 I Geometric Graph Learning, Minkai Xu

Stanford CS224W: Machine Learning w/ Graphs I 2023 I Advanced Topics in GNNs

Stanford CS224W: Machine Learning w/ Graphs I 2023 I GNNs for Recommender Systems

Stanford CS224W: Machine Learning w/ Graphs I 2023 I Knowledge Graph Embeddings

Stanford CS224W: Machine Learning w/ Graphs I 2023 I Machine Learning with Heterogeneous Graphs

Stanford CS224W: Machine Learning w/ Graphs I 2023 I Label Propagation on Graphs

Stanford CS224W: Machine Learning w/ Graphs I 2023 I Graph Neural Networks

Ask About AI: Professor Chris Manning on Explainability in AI Models

Statistical Learning: 10.Py Document Classification and Recurrent Neural Networks I 2023

Statistical Learning: 13.Py False Discovery Rate I 2023

Statistical Learning: 13.Py Multiple Testing I 2023

Statistical Learning: 12.Py Application: NCI60 Data I 2023

Statistical Learning: 12.Py Clustering I 2023

Statistical Learning: 12.Py Principal Components I 2023

Statistical Learning: 13.Py Multiple Testing and Resampling I 2023

Statistical Learning: 10.Py Multilayer Model: MNIST Digit Data I 2023