EE-613: Machine Learning for Engineers

Summary

The objective of this course is to give an overview of machine learning techniques used for real-world applications, and to teach how to implement and use them in practice. Laboratories will be done in python using jupyter notebooks.

Official source

https://edu.epfl.ch/coursebook/en/machine-learning-for-engineers-EE-613

Moodle Page

http://go.epfl.ch/EE-613

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: Artificial neural networks, Topics in machine learning

Data science: Graphical models

Statistics

Data analysis: Regression analysis, Cross-validation

Mathematics

Probability theory: Topics in probability theory

Instructors (4)

Related courses (73)

Related MOOCs (19)

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.