Understanding Machine Learning: A Guide for Product Managers

Introduction: The AI Product Manager

As ML becomes standard across software, product managers must bridge the gap between engineering and business outcomes. You don't need to code, but you must speak the language.

Key ML Concepts for PMs

Supervised vs. Unsupervised Learning

Supervised learning uses labeled training data, while unsupervised learning finds hidden patterns in unlabeled data.

The Importance of Data Quality

An ML model is only as good as the data it is trained on. Quality data collection is a key product responsibility.