After a general introduction on neural networks, we explain different recurrent neural networksarchitectures such as GRU and..
Possible Approximately Correct Learning
Introduction to Generative Adversarial Networks (GAN) with basic applications
This course includes the work of Kainat Khowaja and her PhD supervisor towards exploring the random forests, and all the rele..
The proposed hybrid EEMD k-factor GARMA-LLWNN based neuro-fuzzy model is simultaneously use the strengths of each model compo..
Features for valuation of real estate are not equally distributed spatially Amenities which contribute to high prices in Neu..
Master thesis presentation
Introduction to Boosting Algorithms
Presentation for the paper "Does non-linear factorisation of financial returns help build better and stabler portfolio?"
This courselet will cover how to assess and capture sentiment with regards to news article publications via supervised machin..