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Covers the basics of linear regression and how to solve estimation problems using least squares and matrix notation.

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

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Modern Regression: Random Effects and Model Checking Log in to Mediaspace to watch this video

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Linear Regression: Multicollinearity, Outliers, Model Specification Log in to Mediaspace to watch this video

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Back to Linear Regression Log in to Mediaspace to watch this video

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Data-Driven Modeling: Regression Log in to Mediaspace to watch this video

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Basics of Linear Regression Log in to Mediaspace to watch this video

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Social Capital in Online Networks Log in to Mediaspace to watch this video

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Generalized Linear Models: Exponential Families and Model Construction Log in to Mediaspace to watch this video

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