How To: Machine Learning-Driven Demand Forecasting

#artificialintelligence 

Usual statistical models apply a set of known relationships to a dataset. For example, exponential smoothing will have its way of estimating the underlying demand level and trend. On the other hand, machine learning is about letting an algorithm understand a dataset and its underlying relationships on its own. A Machine Learning algorithm will run through a dataset, look at data features, and (try to) pick up any underlying relationship. Choosing the correct data to feed to your model is tremendously important.

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found