Introduction to Boosting Algorithms
Financial risk measure FRM (Financial Risk Meter) is proposed for Emer...
The proposed hybrid EEMD k-factor GARMA-LLWNN based neuro-fuzzy model is simultaneously use the strengths of each model compo..
Presentation of the research paper "Assessing the Quality of Human-Generated Summaries with Weakly Supervised Learning"
This course deals with the intersection of causal inference, especially heterogeneity, and Machine Learning. We will see wh..
Presentation for the paper "Does non-linear factorisation of financial returns help build better and stabler portfolio?"
A systemic risk management tool
Financial risk measure FRM (Financial Risk Meter) is proposed for Emerging markets (FRM@EM).
Introduction to Generative Adversarial Networks (GAN) with basic applications
Features for valuation of real estate are not equally distributed spatially Amenities which contribute to high prices in Neu..
After a general introduction on neural networks, we explain different recurrent neural networks architectures such as GRU an..