Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the concept of estimating parameters using confidence intervals, focusing on linear regression, statistics, exploratory probabilities, and interval estimation. It explains how to construct confidence intervals, interpret them, and decrease their width by adjusting the level, sample size, or variance. Examples are provided to illustrate the process, such as determining the resistance of equipment or the melting point of an alloy.