Your First Recommendation System: From Data Preparation to ML Debugging and Improvements Assessment | by Alexander Chaptykov | Feb, 2023
Resolve your issues, save time, and avoid mistakesImage by Vska from freepik.comSo you’ve begun to develop your first production recommendation system, and although you have experience in programming and ML, you are bombarded with an enormous volume of new information, like model selection, metrics selection, inference problems and quality assurance.We cover steps for creating the first working version of an ML model, including data processing, model selection, metrics selection, ML debugging, results interpretation and…