Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data

Table of Contents

1. Exploring Data-Centric Machine Learning
2. From Model-Centric to Data-Centric – ML's Evolution
3. Principles of Data-Centric ML
4. Data Labeling Is a Collaborative Process
5. Techniques for Data Cleaning
6. Techniques for Programmatic Labeling in Machine Learning
7. Using Synthetic Data in Data-Centric Machine Learning
8. Techniques for Identifying and Removing Bias
9. Dealing with Edge Cases and Rare Events in Machine Learning
10. Kick-Starting Your Journey in Data-Centric Machine Learning