Machine Learning

• 1
• 11 Students
• All Levels

Short introduction to Reinforcement Learning, mostly Q-learning

• 2
• 13 Students
• All Levels

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

• 3
• 21 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
• 17 Students
• All Levels

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

• 2
• 2 Students
• All Levels

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

• 2
• 9 Students
• All Levels

A systemic risk management tool

• 2
• 10 Students
• All Levels

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

• 2
• 8 Students
• All Levels

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

• 2
• 7 Students
• All Levels

K-expectile clustering

• 2
• 18 Students
• All Levels

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

• 1
• 5 Students
• All Levels

Possible Approximately Correct Learning

• 2
• 7 Students
• All Levels

Introduction to Generative Adversarial Networks (GAN) with basic applications

• 7
• 17 Students
• All Levels

This course includes the work of Kainat Khowaja and her PhD supervisor towards exploring the random forests, and all the rele..

• 2
• 5 Students
• All Levels

The proposed hybrid EEMD k-factor GARMA-LLWNN based neuro-fuzzy model is simultaneously use the strengths of each model compo..

• 2
• 0 Students
• All Levels

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

• 2
• 4 Students
• All Levels

Master thesis presentation

• 2
• 7 Students
• All Levels

Introduction to Boosting Algorithms

• 2
• 0 Students
• All Levels

Presentation for the paper "Does non-linear factorisation of financial returns help build better and stabler portfolio?"