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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 XCS224U: NLU I Intro & Evolution of Natural Language Understanding, Pt. 1 I Spring 2023

Stanford CS229 I Basic concepts in RL, Value iteration, Policy iteration I 2022 I Lecture 17

Stanford CS229 Machine Learning I Self-supervised learning I 2022 I Lecture 16

Stanford CS229 Machine Learning I PCA/ICA I 2022 I Lecture 15

Stanford CS229 Machine Learning I Factor Analysis/PCA I 2022 I Lecture 14

Stanford CS229 Machine Learning I GMM (EM) I 2022 I Lecture 13

Stanford CS229 I K-Means, GMM (non EM), Expectation Maximization I 2022 I Lecture 12

Stanford CS229 Machine Learning I Feature / Model selection, ML Advice I 2022 I Lecture 11

Stanford CS229 Machine Learning I Bias - Variance, Regularization I 2022 I Lecture 10

Stanford CS229 Machine Learning I Neural Networks 2 (backprop) I 2022 I Lecture 9

Stanford CS229 Machine Learning I Neural Networks 1 I 2022 I Lecture 8

Product Management Interview Question: Market Estimation #jobinterviewquestions #stanford #business

Stanford CS229 Machine Learning I Kernels I 2022 I Lecture 7

Stanford CS229 Machine Learning I Naive Bayes, Laplace Smoothing I 2022 I Lecture 6

Stanford CS229 Machine Learning I Gaussian discriminant analysis, Naive Bayes I 2022 I Lecture 5

Stanford CS229 Machine Learning I Exponential family, Generalized Linear Models I 2022 I Lecture 4

Stanford CS229 I Weighted Least Squares, Logistic regression, Newton's Method I 2022 I Lecture 3

Product Management: How to Answer the Top 5 Interview Questions

Stanford CS229 Machine Learning I Supervised learning setup, LMS I 2022 I Lecture 2
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