Etienne Chassaing
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  • Teaching
    • CentraleSupélec
      • Reinforcement Learning
        • Lectures
        • Written exercises
      • Robotics elective
      • Robotics project supervision
    • ECE Paris
      • Sampled Control Systems
        • Lecture slides
        • Midterm quiz
        • Final exam
      • Autonomous car and SLAM project
    • AlbertSchool
      • Mathematics Foundations
        • Sessions
    • Companies
      • PID and MPC control training
      • Deep Reinforcement Learning training (5 days)
    • EPFL
      • Legged Robots (MICRO-507)
      • Foundations of Artificial Intelligence (ME-390)
      • Model Predictive Control (ME-425)
  • Publications
    • Thermoxels: A Voxel-Based Method to Generate Simulation-Ready 3D Thermal Models
    • On identifying the non-linear dynamics of a hovercraft using an end-to-end deep learning approach
    • Identifying Human Grasp Properties During Robot-to-Human Handovers
  • Resume
  • Case Studies and Courses
  • CentraleSupélec
    • Reinforcement Learning
      • Lectures
      • Written exercises
    • Robotics elective
    • Robotics project supervision
  • ECE Paris
    • Sampled Control Systems
      • Lecture slides
      • Midterm quiz
      • Final exam
    • Autonomous car and SLAM project
  • AlbertSchool
    • Mathematics Foundations
      • Sessions
  • Companies
    • PID and MPC control training
    • Deep Reinforcement Learning training (5 days)
  • EPFL
    • Legged Robots (MICRO-507)
    • Foundations of Artificial Intelligence (ME-390)
    • Model Predictive Control (ME-425)
Teaching
AlbertSchool

AlbertSchool

Four sessions of Mathematics Foundations, the linear algebra and calculus behind machine learning, taught in English.

Mathematics Foundations
Vectors, matrices, derivatives and gradient descent, to approach Machine Learning with confidence.
Languages:
English
Français

contact@etiennechassaing.com

© 2026 Etienne Chassaing

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