Probabilistic Linear Regression

Related lectures (31)

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Covers linear and ridge regression, overfitting, hyperparameters, and test sets.

Explores linear regression estimation, linearity assumptions, and statistical tests in the context of model comparison.

Explores linear regression analysis of ozone data using statistical models.

Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.

Covers the probabilistic model for linear regression and the importance of regularization techniques.

Covers the probabilistic model for linear regression and its applications in nuclear magnetic resonance and X-ray imaging.

Covers supervised learning with a focus on linear regression, including topics like digit classification, spam detection, and wind speed prediction.

Covers fundamental concepts of probability and statistics, focusing on data analysis, graphical representation, and practical applications.

Explores linear regression estimation, hypothesis testing, and practical applications in statistics.

Explores independence and conditional probability in probability and statistics, with examples illustrating the concepts and practical applications.