Machine Learning

• 2
• 25 Students
• All Levels

Courselet

Short introduction to Reinforcement Learning, mostly Q-learning

• 2
• 19 Students
• All Levels

Courselet

This course deals with the intersection of causal inference, especially heterogeneity, and Machine Learning. We will see wh..

• 3
• 59 Students
• All Levels

Courselet

We will mainly focus on Latent Dirichlet Allocation (LDA) and its extensions.

• 2
• 11 Students
• All Levels

Courselet

Latent Dirichlet Allocation (LDA) extensions

• 2
• 40 Students
• All Levels

Courselet

Introduction of Kalman filter including the background, calculation methodology and application.

• 2
• 5 Students
• All Levels

Courselet

Presentation of the research paper "Assessing the Quality of Human-Generated Summaries with Weakly Supervised Learning"

• 2
• 14 Students
• All Levels

Courselet

The Shapley Decomposition is a model-agnostic tool which is able give a variable importance measure on a local level.

• 2
• 14 Students
• All Levels

Courselet

Financial risk measure FRM (Financial Risk Meter) is proposed for Emerging markets (FRM@EM).

• 2
• 9 Students
• All Levels

Courselet

K-expectile clustering

• 2
• 42 Students
• All Levels

Courselet

After a general introduction on neural networks, we explain different recurrent neural networksarchitectures such as GRU and..