
Stanford Online
You can gain access to a world of education through Stanford Online, the Stanford School of Engineering’s portal for academic and professional education offered by schools and units throughout Stanford University. https://online.stanford.edu/ Our robust catalog of degree programs, credit-bearing education, professional certificate programs, and free and open content is developed by Stanford faculty, enabling you to expand your knowledge, advance your career, and enhance your life. Stanford Online is operated and managed by the Stanford Engineering Center for Global & Online Education (CGOE). CGOE expands access to Stanford teaching and research, working in collaboration with faculty in the School of Engineering and throughout Stanford University to design and deliver extensive global, online, and enterprise education to a global audience.
Episodes


Stanford CS229: Machine Learning | Summer 2019 | Lecture 12 - Bias and Variance & Regularization

Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 3.3 - Embedding Entire Graphs

Stanford CS224W: ML with Graphs | 2021 | Lecture 3.2-Random Walk Approaches for Node Embeddings

Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 3.1 - Node Embeddings

Stanford CS229: Machine Learning | Summer 2019 | Lecture 16 - K-means, GMM, and EM

Stanford CS229: Machine Learning | Summer 2019 | Lecture 11 - Deep Learning - II

Stanford CS229: Machine Learning | Summer 2019 | Lecture 10 - Deep learning - I

Stanford CS229: Machine Learning | Summer 2019 | Lecture 9 - Bayesian Methods - Parametric & Non

Stanford CS229: Machine Learning | Summer 2019 | Lecture 7 - GDA, Naive Bayes & Laplace Smoothing

Stanford CS229: Machine Learning | Summer 2019 | Lecture 6 - Exponential Family & GLM

Stanford Seminar - Reckoning with Design

Stanford CS224W: ML with Graphs | 2021 | Lecture 2.3 - Traditional Feature-based Methods: Graph

Stanford CS224W: ML with Graphs | 2021 | Lecture 2.2 - Traditional Feature-based Methods: Link

Stanford CS224W: ML with Graphs | 2021 | Lecture 2.1 - Traditional Feature-based Methods: Node

Stanford Digital Transformation Program

Stanford Seminar - Social Comparison and Social Connectedness, Nicole Ellison

Stanford CS229: Machine Learning | Summer 2019 | Lecture 1 - Introduction and Linear Algebra

Stanford CS229: Machine Learning | Summer 2019 | Lecture 8 - Kernel Methods & Support Vector Machine

Stanford CS229: Machine Learning | Summer 2019 | Lecture 5 - Perceptron and Logistic Regression
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