We designed a machine learning algorithm that identifies patterns between ESG profiles and financial performances for companies in large investment universe. The consists of regularly updated sets rules map regions into the high-dimensional space features to excess return predictions. final aggregated predictions are transformed scores which allow us design simple strategies screen universe sto...

Life expectancy may be greatly improved by accurately diagnosing mental health issues at an early stage. The goal of this study is to develop strong modelling tools for clinical practise using machine learning methods. An individual's risk developing dementia, anxiety, depression, and other will assessed techniques (e.g. genetics, cognition, demographics). Mental problems treated more successfu...