Part 2: Securing Your Data
Machine learning is based on data, so it is our priority to secure them. In this part, you will learn how to develop a data governance program and then how to secure data during storage and transfer. You will also learn how to work with backup and recovery services and how to identify and protect sensitive information and interpret ML models. Finally, you will explore best practices that use federated learning and secure multi-party computation.
This part has the following chapters:
- Chapter 4, Data Protection and Governance
- Chapter 5, Data Privacy and Responsible AI Best Practices