This is a dedicated watch page for a single video.
A technology startup is building an AI-powered recommendation system and wants to streamline the development process. The product team is trying to understand the distinction between machine learning (ML) algorithms and ML models. Clarifying this difference will help the team better structure their project workflow. What do you recommend?