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Machine learning can improve operations, but only when its predictivemodels are deployed, integrated, and—most importantly—acted upon. In this workshop you’ll learn how to: Apply machine learning to business operations through the structure of CRISP-DM. Attendees will receive a full recording of the workshop.
The plot below is an example of PDPs that show the impact of changes in features like temperature, humidity, and wind speed on the predicted number of rented bikes. PDPs for the bicycle count predictionmodel (Molnar, 2009). Creating a PDP for our model is fairly straightforward. References. Explainable planning.
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