AI for Everybody — Lesson 5

1. 1Define generative models and their use cases
2. 2Explain predictive models and their applications
3. 3Compare the differences between generative and predictive models
4. 4Apply the knowledge to a real-world problem
5. 5Test the understanding by identifying examples of generative and predictive models

Data scientists and machine learning engineers can benefit from understanding the distinction between generative and predictive models to choose the right approach for their projects

💡 Generative models generate new data, while predictive models forecast outcomes

💡 Generative vs Predictive AI: know the difference to build better models