The Datapred blog

On machine learning, time series and how to use them.

Stop stacking, start aggregating

Data scientists are waking up to the fact that combining multiple, relatively simple predictive models is often more efficient, when tackling a time series forecasting challenge, than using the latest super-duper neural network.
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Custom loss functions - What they are and why you need them

Machine learning models often disappoint in production for a simple reason - they have the wrong target.
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