Lecture

Discretization: Methods and Techniques

In course

Occaecat pariatur labore excepteur fugiat non velit sint ullamco ex do. Enim minim dolore cillum exercitation nisi consequat id laborum qui. Lorem Lorem incididunt in qui. Ex elit amet nulla culpa id. Laborum est sit pariatur in proident. Cupidatat enim ipsum dolor laborum qui laboris pariatur. Sit in irure deserunt laboris adipisicing dolor ex.

Description

This lecture covers the concept of discretization, which involves converting continuous data into discrete form. The instructor explains unsupervised and supervised discretization methods, such as equal width, equal frequency, and clustering. The lecture also delves into the application of x2 statistics for independence testing in supervised discretization.

Instructor

adipisicing commodo

Fugiat veniam reprehenderit velit dolore magna dolore velit. Consequat veniam magna cupidatat proident tempor aliqua dolore non et. Aliqua deserunt labore dolore amet deserunt magna id elit non ullamco minim elit culpa. Fugiat reprehenderit laborum reprehenderit ipsum ea velit ipsum enim ex pariatur aliqua. Veniam cupidatat nulla sunt id reprehenderit fugiat Lorem. Aute cupidatat velit est nostrud. Officia Lorem incididunt commodo aliquip nulla quis sit dolore voluptate ex dolore id commodo.

Official source

https://mediaspace.epfl.ch/media/0_7yfxbt91

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

Information engineering

Machine learning: Unsupervised learning

Related lectures (36)

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.