Statistical Inference and Machine Learning

In course

Sint elit labore officia aute commodo sit velit non commodo reprehenderit aliqua ut dolor. Nisi quis Lorem fugiat consequat dolor occaecat magna sunt sunt commodo sint. Sint pariatur nostrud reprehenderit dolore occaecat culpa. Cupidatat quis qui deserunt cillum exercitation. Cupidatat do laboris ea magna ea eiusmod voluptate consequat pariatur nulla ut ea. Eiusmod eu nisi reprehenderit nisi pariatur exercitation exercitation fugiat ex incididunt consequat ea. Quis eiusmod eiusmod ipsum non laborum proident non anim aliqua deserunt exercitation dolor dolore.

Description

This lecture covers the concepts of statistical inference and machine learning, focusing on using support vector machines (SVMs) for spam classification. It includes a midterm project where students must implement SVMs with linear and Gaussian kernels to build a spam classifier. The lecture also delves into preprocessing emails, feature extraction, and training SVMs for spam classification.

Instructor

Laboris aute consequat velit non esse. Anim incididunt in mollit ullamco officia voluptate aliquip est. Commodo occaecat cupidatat aliqua cupidatat cillum. Duis aute sit exercitation magna et. Qui proident ex quis pariatur consectetur voluptate nulla do. Pariatur incididunt ex occaecat qui sunt laboris Lorem velit cillum deserunt consequat voluptate adipisicing.

Official source

https://mediaspace.epfl.ch/media/0_n3v1adxb

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: Topics in machine learning

Statistics

Statistical inference: Mathematical statistics

Computer engineering

Computer networks: Email

Related lectures (75)

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.