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Linear programming is the oldest of the mathematical programming algorithms, dating to the late 1930s. This article goes through a blending/mixing application to illustrate how linear programming works.
Extracting additional information about a model trained with a predictive tool is possible because of the way the predictive tools are built - containing an R tool with R code that executes the core functionality of the tool, such as training a model with provided input data.
Ever wonder what activities you could do in London with a time constraint? How about how to maximize the value of your fantasy football team on a budget? Join my session at Inspire to learn how prescriptive analytics and the Optimization Tool can help you find the best solution to your most pressing questions. I’ll go into more detail on the day, but to whet your appetite, here’s a little taster of what to expect.
How about using Facebook's Prophet package for time series forecasting in Alteryx Designer? With Prophet, you are not stuck with the results of a completely automatic procedure if the forecast is not satisfactory — an analyst with no training in time series methods can improve or tweak forecasts using a variety of easily-interpretable parameters.