Table of Contents - An Overview of the Machine Learning Life Cycle
- What Problems Do Feature Stores Solve?
- Feature Store Fundamentals, Terminology, and Usage
- Adding Feature Store to ML Models
- Model Training and Inference
- Model to Production and Beyond
- Feast Alternatives and ML Best Practices
- Use Case - Customer Churn Prediction