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Data Representations: Learning Methods

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Covers the basics of machine learning, including supervised and unsupervised learning, linear regression, and classification.

Neural Networks: Random Features and Kernel Regression Log in to Mediaspace to watch this video

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Feature Expansion and Kernels Log in to Mediaspace to watch this video

Covers feature expansion, kernels, SVM, and nonlinear classification in machine learning.

Machine Learning: Supervised and Unsupervised Learning Techniques Log in to Mediaspace to watch this video

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Linear Models: Part 1 Log in to Mediaspace to watch this video

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Machine Learning Basics Log in to Mediaspace to watch this video

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Decision Trees and Random Forests: Concepts and Applications Log in to Mediaspace to watch this video

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Quantum Chemistry Applications Log in to Mediaspace to watch this video

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Untitled Log in to Mediaspace to watch this video

Integral Calculus: Fundamental Theorem Log in to Mediaspace to watch this video

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