Machine Learning

• 2
• 7 Students
• All Levels

Courselet

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

• 2
• 40 Students
• All Levels

Courselet

Introduction to Boosting Algorithms

• 2
• 21 Students
• All Levels

Courselet

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

• 3
• 2 Students
• All Levels

Courselet

Cross-exchange Crypto Risk: A High-frequency Dynamic Network Perspective

• 2
• 1 Students
• All Levels

Courselet

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

• 2
• 18 Students
• All Levels

Courselet

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

• 2
• 10 Students
• All Levels

Courselet

Introduction to Generative Adversarial Networks (GAN) with basic applications

• 2
• 22 Students
• All Levels

Courselet

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

• 0
• 110 Students
• All Levels

Course

Bachelor-level lecture aimed to strike a balance between teaching students how to code in Python and conveying the foundation..

• 2
• 30 Students
• All Levels

Courselet

Short introduction to Reinforcement Learning, mostly Q-learning