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. I’ve had my fair share of successful and unsuccessful ML products. There are even reports…