Basics of Data Science Product Management: The ML Workflow

The theory of ML is hard, the application is even harder!

I’ve spent the last few years applying data science in different aspects of business. Some use cases are internal machine learning (ML) tools, analytics reports, data pipelines, prediction APIs, and more recently, end-to-end ML products.