Lecture

Measures of dispersion: Mean Square Error

In course

Voluptate sint laboris Lorem cupidatat Lorem incididunt consequat consectetur do minim. Dolore esse ex sunt nostrud ex voluptate veniam voluptate magna voluptate cupidatat adipisicing aute. Consectetur irure cillum enim eiusmod duis sit nostrud excepteur. Eu ad culpa officia qui minim labore nulla ex anim deserunt. Fugiat ea quis ut ut occaecat aute amet et ut exercitation proident in eiusmod do. Non ad culpa duis consectetur ut quis sit reprehenderit commodo ad amet occaecat. Ut reprehenderit consectetur do est mollit velit ex.

Description

This lecture covers data dispersion, measures of central tendency (mean, median), and measures of dispersion (variance, standard deviation). It also explains the concept of Mean Square Error (MSE) and how it is used to analyze the distribution of data around a central value.

Official source

https://mediaspace.epfl.ch/media/0_q6uza4c9

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Related lectures (33)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.