Evaluating Machine Learning models when dealing with imbalanced classes

Sander Timmer, PhD In real-world Machine Learning scenarios, especially those driven by IoT that are constantly generating data, a common problem is having an imbalanced dataset. This means, we have far more data representing one outcome class than the other. For example, when doing predictive maintenance, there is (far) more data available about the healthy… Read more

PowerShell Script To Invoke ML Scoring Part I

By Earle Sinnatamby, Consultant Objective The purpose of this blog post is to provide PowerShell alternative to utilizing Azure Data Factory to perform Machine Learning (ML) scoring. The Pilot engagement required daily on-premises data to be uploaded into Azure Blob Storage. Each data file uploaded required daily rescoring with ML script provided by the client… Read more