
8/25/2021
What this post added
This post outlines a five-step business-centric approach to building and productionizing machine learning models. It emphasizes asking if ML is the right solution, starting with simple models and heuristics, measuring impact before optimizing, and having a plan for iteration. Specific techniques discussed include using simple models like linear regression, composite indices, and keyword matching as baselines, and the importance of tying performance metrics to business impact. It also highlights the need to understand model tradeoffs through confusion matrices and residual distributions.