Chaining Machine Learning and Optimization Models

Machine learning is about predicting, while optimization is about solving (searching for the values of variables that lead to the best outcomes). The latest Nathan Brixius’s post discusses different ways of combining optimization and machine learning:
1. Optimization as a means for doing machine learning
2. Machine learning as a means for doing optimization
3. Using the results of machine learning as input data for an optimization model.  Link

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