Computational neuroscience | INCF TrainingSpace

Tutorial 2: Principal Component Analysis 6:33

Tutorial 1: Geometric View of Data 4:48

Classifiers and Regularizers 6:42

Generalized Linear Models (GLMs) 8:09

Model Selection: Cross-Validation (Tutorial 6) 5:28

Model Selection: Bias-Variance Trade-Off (Tutorial 5) 6:38

Multiple Linear Regression and Polynomial Regression (Tutorial 4) 7:50

Confidence Intervals and Bootstrapping (Tutorial 3) 5:00

Linear Regression With Maximum Likelihood Estimation (Tutorial 2) 8:00

Linear Regression With Least Squares Optimization (Tutorial 1) 6:18

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