Max Mergenthaler
Max is the CEO and Co-Founder of Nixtla, an open-source time-series research and deployment startup. He is also a seasoned entrepreneur with a proven track record as the founder of multiple technology startups. With a decade of experience in the ML industry, he has extensive expertise in building and leading international data teams. Max has also made notable contributions to the Data Science field through his co-authorship of papers on forecasting algorithms and decision theory. In addition, he is a co-maintainer of several open-source libraries in the Python ecosystem. He has been a speaker at major data conferences in different countries. Max's passion lies at the intersection of business and technology.
Sessions
This talk will examine the use of conformal prediction in the context of time series analysis. The presentation will highlight the benefits of using conformal prediction to estimate uncertainty and demonstrate its application using open source python libraries for statistical, machine learning, and deep learning models (https://github.com/Nixtla).