Recently, I was granted access to the LinkedIn Live beta program and here is the first live stream I did on the platform. With me is Andy Leonard and talk about AI, ethics, MSDN Magazine, and LinkedIn Live. Back @Microsoft to help customers leverage #AI Opinions mine. I blog to help you become a better data scientist/ML engineer Opinions are mine. This site uses Akismet to reduce spam.

In the last two columns, I explored the features and services provided by Azure Machine Learning Studio. In September 2017, Microsoft announced a new suite of tools for doing machine learning (ML) on Azure. The cornerstone of these new tools is Azure Machine Learning Workbench. However, what could be better for doing ML than the simple drag-and-drop interface of Machine Learning Studio? Machine Learning Studio is an ideal tool for creating ML models without having to write code, but it falls short in several areas. First and foremost, the tool's simplicity requires a "black box" approach.