Language of instruction
French, English
Teaching content
MB-IT
This course occurs in the following program(s)
Diplôme Ingénieur ISEN (Master's degree in electronics and information technology)
- Crédits ECTS: 0.00
Training officer(s)
N.IHADDADENE
Présentation
Goal
• Understand the application fields and basic concepts related to Artificial Intelligence (AI).
• Learn how to model a problem and solve it with an AI approach.
• Start using AI modeling, machine learning and development tools.
• Browse recent advances in AI.
• Learn how to model a problem and solve it with an AI approach.
• Start using AI modeling, machine learning and development tools.
• Browse recent advances in AI.
Presentation
• Background, definitions and basic concepts.
• Fields of application (Natural language processing, machine vision, robotics, ...).
• Input concepts.
• Modeling and problem solving.
• Supervised learning.
• Unsupervised learning.
• Neural networks and Deep Learning.
• Fields of application (Natural language processing, machine vision, robotics, ...).
• Input concepts.
• Modeling and problem solving.
• Supervised learning.
• Unsupervised learning.
• Neural networks and Deep Learning.
Modalités
Evaluation