Max Mergenthaler and Fede Garza - Quantifying Uncertainty in Time Series Forecasting

www.pydata.org

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).

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