Artificial Intelligence University of Bordeaux
This course provides an introduction to artificial intelligenceincluding its challenges, revolution, and achievements, and covers thefollowing: - Machine Learning: principles, unsupervised vs supervised learning. - Deep Learning: fundamentals, architectures, algorithms.
- First Bachelor year in Science. - B2 level in English.
Continuous assessment: oral presentations.
> Machine Learning: - General principles - Unsupervised learning: clustering - Supervised learning: decision trees, random forests> Deep Learning: - Introduction and "sucess story" - Fundamentals of deep learning - Classic architectures and optimization algorithms> Case studies:- Illustration of methods with examples ofvisual information mining:images and video
- 20 integrated lectures / tutorials (1h20) - 1 project during the semester (by pairs or trinominals)
Online Course Requirement
Language of instruction: EnglishMode of delivery: Face-to-face teaching
Site for Inquiry
Please inquire about the courses at the address below.
Contact person: Jenny Benois-Pineau email@example.comAkka Zemmariakka.firstname.lastname@example.org