EP 21 | Duke ML for PMs in 10 Minutes (The Full Recap)

Short on time? We’ve distilled the entire Duke University "Machine Learning Foundations for Product Managers" course into a single 10-minute recap. This is the ultimate PM "Cram Session" for bridging the gap between business strategy and data science.Watch or listen for the "Best Of" our course deep dives:The Core Vocabulary: Features, labels, and the 3 types of ML.The Modeling Process: The 5 strategic steps to get a model into production.Model Evaluation: The Precision vs. Recall trade-off and surviving the "Accuracy Trap."Model Selection: Knowing when to use Linear Models versus Tree Models.Note: This is an AI-generated study resource created via NotebookLM based on Duke University’s ML for Product Managers curriculum and personal study notes.