Section 3: Technical Architecture Design and Regulatory Considerations for Enterprise ML Platforms
In Section 3, we will discuss architecture and business requirements beyond just data scientists, looking at enterprise ML platforms, security, and governance. We will cover advanced science and engineering topics for machine learning.
This section comprises the following chapters:
- Chapter 7, Open Source Machine Learning Platforms
- Chapter 8, Building a Data Science Environment Using AWS ML Services
- Chapter 9, Building an Enterprise ML Architecture with AWS ML Services
- Chapter 10, Advanced ML Engineering
- Chapter 11, ML Governance, Bias, Explainability, and Privacy
- Chapter 12, Building ML Solutions Using AI Services and ML Platforms