Course: RegML 2020

I attented the course Regularization Methods for Machine Learning (RegML 2020). Topics: Regularization Methods: Penalization, Projection, Early Stopping. Kernel Methods Regularization in Multi-Task Learning Sparsity Geometric Deep Learning Representation Learning Here you can find my notes about the lessons. There can be errors, imprecisions and so... [Read More]
[ machine-learning courses ]

Machine Learning Notes

.PDF Web Version Here I share a brief summary of the theory behind Machine Learning. These notes were taken during my M.Sc. (2016/2017) following the Machine Learning lectures. They might contain errors, they can be imprecise,... [Read More]
[ machine-learning notes summary ]


machine-learning reinforcement-learning gan paper-notes conference tutorial open-source image-translation computer-vision summary software sacred pyconit notes nips natural-language-processing icml experiments euroscipy courses configurable competition book