Course

ME-390: Foundations of artificial intelligence

Summary

This course provides the students with 1) a set of theoretical concepts to understand the machine learning approach; and 2) a subset of the tools to use this approach for problems arising in mechanical engineering applications.

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/foundations-of-artificial-intelligence-ME-390

Moodle Page

http://go.epfl.ch/ME-390

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Summary

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/foundations-of-artificial-intelligence-ME-390

Moodle Page

http://go.epfl.ch/ME-390

About this result

Lectures in this course (16)

Artificial Intelligence: Foundations and Machine Learning

Covers the foundations of artificial intelligence, machine learning, the data revolution, and research examples in AI and machine learning.

Optimization of Paper Planes

Explores the optimization of paper planes and soft structures for thrust generation.

Linear Regression: Basics and Gradient Descent

Covers the basics of linear regression, including feature engineering, supervised vs. unsupervised learning, and minimizing the cost function.

Linear Regression and Logistic Regression

Covers linear and logistic regression for regression and classification tasks, focusing on loss functions and model training.

Logistic Regression: Interpretation & Feature Engineering

Covers logistic regression, probabilistic interpretation, and feature engineering techniques.

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