Teaching at Dauphine PSL
IASD M2: 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, and build portfolio of deep reinforcement learning projects.
Deep reinforcement learning has been used for a diverse set of applications including but not limited to robotics, video games, natural language processing, computer vision, education, transportation, finance and healthcare.
Course content HERE , part of Artificial Intelligence, Systems, Data (IASD) - Master's Year 2
Apply concepts to train agents to walk, drive, or perform other complex tasks, and build portfolio of deep reinforcement learning projects.
Deep reinforcement learning has been used for a diverse set of applications including but not limited to robotics, video games, natural language processing, computer vision, education, transportation, finance and healthcare.
Course content HERE , part of Artificial Intelligence, Systems, Data (IASD) - Master's Year 2
IASD M2: Become a Kaggle Master
Learn the tips and tricks to perform well in Kaggle Competitions.
Know how to do features engineering and visualisation, rigourous cross validation and hyperparameters tuning.
Do labs to get hands-on on three Kaggle competitions with feedback and insights from top performers .
Course content HERE , part of Artificial Intelligence, Systems, Data (IASD) - Master's Year 2
Know how to do features engineering and visualisation, rigourous cross validation and hyperparameters tuning.
Do labs to get hands-on on three Kaggle competitions with feedback and insights from top performers .
Course content HERE , part of Artificial Intelligence, Systems, Data (IASD) - Master's Year 2
IDD M1: 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.
Do labs to get hands-on and learn tips and tricks for optimizations, identifying the right approaches and presenting convincing explanations. All of this will be done in a modern, popular, and well-documented language: Python.
Course content HERE, part of Computer Science, Decision Making, and Data - Master’s Year 1
Do labs to get hands-on and learn tips and tricks for optimizations, identifying the right approaches and presenting convincing explanations. All of this will be done in a modern, popular, and well-documented language: Python.
Course content HERE, part of Computer Science, Decision Making, and Data - Master’s Year 1
Executive education: Data AI Product Owner
Learn the fundamentals for applying AI to banking, for supervised learning, regression, classification and unsupervised learning on various use cases.
Course content HERE, part of Executive Master in Artificial Intelligence and Data
Course content HERE, part of Executive Master in Artificial Intelligence and Data