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the chapter closes with a lengthy discussion of the importance of algorithm selection and the trade-offs in model complexity that arise from different types of time series models, as well as how to deal with data sets that are too large to fit on a single device. it also has a nice summary of what is going on in the field of time series forecasting, which is probably one of the most active research areas in machine learning right now.

Fractal Forecasting downloads torrent

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