Data Science, Causal Inference, Machine Learning, Optimization, Notes From Industry.
problems gives you the flexibility to use both equality and inequality constraints. The data you collect is likely to be observational – This poses some challenges around the range of discount values you will collect – They are probably going to be clustered around a set region. Using some sort of