How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls

We outline some of the common pitfalls of machine learning for time series forecasting, with a look at time delayed predictions, autocorrelations, stationarity, accuracy metrics, and more.

Go to the post on: KDnuggets RSS Feed.

Comments