Machine Learning

• 2
• 7 Students
• All Levels

Possible Approximately Correct Learning

• 3
• 47 Students
• All Levels

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

• 2
• 10 Students
• All Levels

Latent Dirichlet Allocation (LDA) extensions

• 2
• 30 Students
• All Levels

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

• 2
• 8 Students
• All Levels

K-expectile clustering

• 2
• 21 Students
• All Levels

Short introduction to Reinforcement Learning, mostly Q-learning

• 2
• 22 Students
• All Levels

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

• 2
• 13 Students
• All Levels

Features for valuation of real estate are not equally distributed spatially Amenities which contribute to high prices in Neu..

• 2
• 8 Students
• All Levels

Introduction to Generative Adversarial Networks (GAN) with basic applications

• 2
• 13 Students
• All Levels

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