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Course

CS-330: Artificial intelligence

Summary

Introduction aux techniques de l'Intelligence Artificielle, complémentée par des exercices de programmation qui montrent les algorithmes et des exemples de leur application à des problèmes pratiques.

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/artificial-intelligence-CS-330

Moodle Page

http://go.epfl.ch/CS-330

About this result

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Summary

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/artificial-intelligence-CS-330

Moodle Page

http://go.epfl.ch/CS-330

About this result

Lectures in this course (13)

Artificial Intelligence Fundamentals

Covers artificial intelligence fundamentals, emphasizing practical applications and programming exercises.

Knowledge Representation: Introduction

Covers knowledge representation in AI, logical inference, and applications in various domains.

Structured Classifications: Decision Trees and Boosting

Explores decision trees, overfitting elimination, boosting techniques, and their practical applications in predictive modeling.

Unsupervised Learning: Clustering

Explores unsupervised learning through clustering techniques, algorithms, applications, and challenges in various fields.

Bio-Inspired Learning: Neural Networks, Genetic Algorithms

Explores bio-inspired learning with neural networks and genetic algorithms, covering structure, training, and practical applications.

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