Levi did his graduate work at the University of Utah, focusing on atmospheric predictability. There he used ensemble methods to improve numerical models, in terms of both the lead time and estimated intensity of hurricane development. At Health Catalyst, Levi started out on the platform engineering team, creating software improvements to the company’s core ETL offering. Since he moved internally to lead the data science team, Levi founded healthcare.ai, the first open-source machine learning project focused on healthcare outcomes. He’s now working to integrate healthcare.ai into each of Health Catalyst’s products and make healthcare.ai the international center of collaboration for healthcare machine learning.
Despite all the hype, you may be surprised to learn that the barriers to entry for machine learning are relatively low. The requirements? A dataset and an analyst. In this talk, Dr. Thatcher walk you through the practicalities of choosing a business problem, organizing a dataset, deploying a model, and surfacing the guidance in a visualization. This will be a technical session.