Motivation I’ve read several studies and articles that claim Econometric models are still superior to machine learning when it comes to forecasting. In the article, “Statistical and Machine Learning forecasting methods: Concerns and ways forward”, the author mentions that, “After comparing the post-sample accuracy of popular ML methods with ...

Over 20% of Amazon’s North American retail revenue can be attributed to customers who first tried to buy the product at a local store but found it out-of-stock, according to IHL group (a global research and advisory firm specializing in technologies for retail and hospitality. In other words, many companies ...

There are plenty of methods out there for machine learning model interpretability but which is the best one? Find out how to do it right with RemixAutoML.

You’d be surprised at how many data scientists don’t know how to turn their probabilities into class labels. Often times they will just go with 50% as the cutoff without a second thought, regardless of any class imbalances or asymmetric costs in the outcomes.