Book Review: Designing Machine Learning Systems
An important part of every data science professional’s growth journey is evolving from data preparation and model training to owning the entire machine learning development cycle. The full cycle includes data ingestion, data cleaning and preparation, feature engineering, model training, model evaluation, model deployment, model serving, and model maintenance....
Using Machine Learning to Estimate Price Elasticity
During the final semester of my grad school analytics program, I was tasked with estimating price elasticity for wine. At first glance, this seemed like a simple objective. In economics, I was taught that price elasticity is the percent change in demand given the percent change in price (i.e....