About the Event
Get an intuitive overview of ensemble methods, that is a machine learning method of combining predictions of different models to produce better estimates. Explore several methods of hyperparameter optimization that can be applied to different machine learning algorithms and allow to find the best model specifications out of thousands trained. An investment strategy use case will be covered by our advisory board member Dmitry Borisenko, Ph.D. – a quant analyst managing a systematic portfolio of global equities. Time: 14.06.2019