Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Linear Regression: Least Squares

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (40)

Linear Regression Basics Log in to Mediaspace to watch this video

Introduces the basics of linear regression, covering OLS approach, residuals, hat matrix, and Gauss-Markov assumptions.

Linear Regression: Fundamentals and Applications Log in to Mediaspace to watch this video

Explores linear regression fundamentals, model training, evaluation, and performance metrics, emphasizing the importance of R², MSE, and MAE.

Linear Regression: Beyond the Basics Log in to Mediaspace to watch this video

Explores advanced concepts in linear regression models, including multicollinearity, hypothesis testing, and handling outliers.

Linear Regression: Ozone Data Analysis Log in to Mediaspace to watch this video

Explores linear regression analysis of ozone data using statistical models.

Linear Regression: Regularization Log in to Mediaspace to watch this video

Covers linear regression, regularization, and probabilistic models in generating labels.

Applied Biostatistics: Bivariate Data and Regression Analysis Log in to Mediaspace to watch this video

Covers bivariate data analysis, correlation, and regression techniques, including interpretation of coefficients and least squares geometry.

Linear and Weighted Regression: Optimal Parameters and Local Solutions Log in to Mediaspace to watch this video

Covers linear and weighted regression, optimal parameters, local solutions, SVR application, and regression techniques' sensitivity.

Linear Regression Model Log in to Mediaspace to watch this video

Explores the linear regression model, OLS properties, hypothesis testing, interpretation, transformations, and practical considerations.

Linear Regression: Basics and Applications Log in to Mediaspace to watch this video

Explores linear regression using the method of least squares to fit data points with the equation y = ax + b.

Linear Regression: Foundations and Applications Log in to Mediaspace to watch this video

Introduces linear regression, covering its fundamentals, applications, and evaluation metrics in machine learning.

Applied Biostatistics: Bivariate Data Analysis Log in to Mediaspace to watch this video

Explores bivariate data analysis in applied biostatistics, covering correlation, regression, model selection, and diagnostics.

Supervised Learning in Financial Econometrics Log in to Mediaspace to watch this video

Explores supervised learning in financial econometrics, covering linear regression, model fitting, potential problems, basis functions, subset selection, cross-validation, regularization, and random forests.

Linear Regression Analysis: Diagnostic and Variance Log in to Mediaspace to watch this video

Explores linear regression diagnostic methods, variance analysis, and experimental design concepts.

IWLS Algorithm: Overview Log in to Mediaspace to watch this video

Covers the IWLS algorithm for obtaining MLEs in regression models and discusses the likelihood ratio statistic and deviance in model fitting.

Monte Carlo Method: Simulation and Inference Log in to Mediaspace to watch this video

Covers the Monte Carlo method for statistical inferences using simulation tools and sample mean estimators.

Supervised Learning Essentials Log in to Mediaspace to watch this video

Introduces the basics of supervised learning, focusing on logistic regression, linear classification, and likelihood maximization.

Estimating R: Maximum Likelihood Method Log in to Mediaspace to watch this video

Explores estimating parameters in statistical models using the maximum likelihood method and the method of moments.

Quantum Chemistry Applications Log in to Mediaspace to watch this video

Explores quantum chemistry applications, emphasizing the role of electron density in predicting chemical properties and addressing challenges in catalyst design, solar energy conversion, and drug synthesis.

Gradient Descent Log in to Mediaspace to watch this video

Covers the concept of gradient descent, a universal algorithm used to find the minimum of a function.

Elements of Statistics: Estimation & Distributions Log in to Mediaspace to watch this video

Covers fundamental statistics concepts, including estimation theory, distributions, and the law of large numbers, with practical examples.

Page 2 of 2