Eric Benhamou

Major interest

DRL - ML for Finance - Kaggle

Expertise: Machine learning, Deep RL, Finance

Other skills: Advanced programming in python, Mathematics for machine learning, Kaggle competitions


M2 IASD: Deep Reinforcement Learning

Learn cutting-edge deep reinforcement learning algorithms—from Deep Q-Networks (DQN) to Deep Deterministic Policy Gradients (DDPG). Apply concepts to train agents to walk, drive, or perform other complex tasks.

M2 IASD: Become a Kaggle master

Learn the necessary theory and applications to become a Kaggle master. In particular, learn tips and tricks to improve your score thanks to rigorous cross validation, hyperparameters tuning and features engineering.

M1 IDD: Advanced programming and data structure

Learn the necessary theory and applications to properly understand the advanced algorithms and data structures that are critical to various problems and how to implement them.

Executive Education: Artificial Intelligence and Data

Learn the necessary theory and applications to properly manage projects combining Artificial Intelligence and Data in finance. Discover various use cases. Understand how to go from an idea to a real life project.

PSL Week: AI for Economics and Finance

Learn the necessary theory and applications to use chatGPT to predict financial markets. Discover a use case on sentiment score based on Bloomberg news.