Feature engineering entails curating, refining and optimizing data attributes to empower machine learning models for improved performance and predictive accuracy. Step 1: Data collection ...

In fall 2014, the Practice of Machine Learning Conference held at Microsoft crowned Dr. Pig the winner of its first-ever Azure Machine Learning Cloud App Contest. Developed by the Microsoft Lab 1711 – ...

Here, you can employ other methods such as featured engineering, which is a process of using a thorough understanding of the data to create features that make machine learning algorithms work.

Microsoft wants companies to build their own AI-powered “copilots” — using tools on Azure and machine learning models from its close partner OpenAI, of course. Microsoft defines a “copilot ...