“AutoML” Parameter Search for Hierarchical Demand Forecasting Optimization

In general, machine learning approaches expose many options that affect performance and accuracy. “AutoML” (Automated ML) concerns problems of optimizing over such options. Forecasting demand of products that form a hierarchy raises this kind of challenge. We recently wrote a blog post about demand forecasting for hierarchical data. We listed several approaches to reconciling forecasts…

0

Announcing free online Cortana Intelligence virtual workshop on Tuesday, 6 Dec 2016

Get hands-on with Cortana Intelligence Suite If you’d like to learn how to architect solutions in Cortana Intelligence Suite and how to build intelligence into your applications, join Microsoft Architects Jin Cho and Todd Kitta for a step-by-step look at the platform. On December 6, 2016, in the “Cortana Intelligence Suite End to End” event,…

0