Getting Better at Machine Learning – Robert Chang – Medium

In A Beginner's Guide to Data Engineering series, I argued that academic institutions typically do not teach students the proper mental models when it comes to analytics workflows in real-life. Far too many classes only focus on the mechanics of data analysis without teaching concepts such as ETL or the importance of building robust data pipelines. Unfortunately, I see a similar pattern in machine learning education as well. Surely, studying the math behind ML and learning different algorithms are valuable. Yet, there exist crucial steps beyond model.fit(X,