In this talk, the focus is on the Numerai data science tournament - a crowdsourcing hedge fund that uses machine learning to make investment decisions. The tournament is known as the toughest data science tournament on the planet and attracts thousands of data scientists from around the world. The speaker introduces the hedge fund and the tournament and discusses technical aspects such as how to create predictions, common pitfalls and how workflows change when using a Z by HP Workstation, designed for data heavy ML tasks. He also describes the challenges of participating in this tournament, such as the complexity of the data and the need to develop innovative approaches to solve the tasks at hand.