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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


Statistical Learning: 11.2 Proportional Hazards Model

Statistical Learning: 11.1 Introduction to Survival Data and Censoring

Statistical Learning: 10.R.4 Recurrent Neural Networks

Statistical Learning: 10.R.3 Document Classification

Statistical Learning: 10.R.2 Convolutional Neural Networks in R

Statistical Learning: 10.R.1 Neural Networks in R and the MNIST data

Statistical Learning: 10.7 Interpolation and Double Descent

Statistical Learning: 10.6 Fitting Neural Networks

Statistical Learning: 10.5 Time Series Forecasting

Statistical Learning: 10.4 Recurrent Neural Networks

Statistical Learning: 10.3 Document Classification

Statistical Learning: 10.2 Convolutional Neural Networks

Statistical Learning: 10.1 Introduction to Neural Networks

Statistical Learning: 9.R.2 Nonlinear Support Vector Machine

Statistical Learning: 9.R.1 Support Vector Classifier

Statistical Learning: 9.4 Example and Comparison with Logistic Regression

Statistical Learning: 9.3 Feature Expansion and the SVM

Statistical Learning: 9.2.Support Vector Classifier

Statistical Learning: 9.1 Optimal Separating Hyperplane
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