This month we will have a workshop on Gradient Boosting.
Gradient Boosting is a machine learning algorithm used mostly for regression and classification task. Such Methods have been used successfully to win machine learning competitions on Kaggle. Furthermore, gradient boosting is being more and more used in the industry.
In this workshop, we will go first through the theory to get a better intuition and understanding. Finally, we will analyze different case studies and provide practical tips on using gradient boosting in your projects.
The Workshop is split into 2 parts:
1. Part - Anand Subramoney will give a theoretical overview of Gradient Boosting.
2. Part - Adrian Spataru will present how you can apply different implementations of the algorithm and present several case studies.