Yu Xia
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Machine Learning Engineer
Bain & Company, Inc. |
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I'm a machine learning engineer with a passion for forecasting, building better models, and solving real-world problems with accuracy and interpretability. I graduated from NYU with a joint major in Mathematics and Data Science, where I honed my skills in statistics, machine learning, and optimization. |
Probabilistic Programming 101
May 31, 2023; 11:00am-12:00pm PST
May 31, 2023; 11:00am-12:00pm PST
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.
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.