Probabilistic programming has become an increasingly popular approach for building models that capture the uncertainty inherent in many real-world applications. By incorporating probabilistic models into software systems, decision-makers can better understand the range of possible outcomes, identify areas of risk and opportunity, and make more informed decisions.
In this hands-on workshop, we will explore the fundamentals of probabilistic programming and demonstrate its value in the context of real-world applications. We will introduce the key concepts and tools needed to build and deploy probabilistic models, including Numpyro, a powerful probabilistic programming framework based on Python.
As a practical example, we will walk through the development of a probabilistic demand model for a retail marketing scenario. We will use Numpyro to implement the model, explore the resulting predictions, and analyze the key drivers of demand.
This workshop was conducted by Yu Xia, Machine Learning Engineer with Bain & Company, Inc
Notebook: github.com/YuX...
Learn more about WiDS Workshops: widsconference.org/workshops
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5 окт 2024
