http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Introduction -- Part 1. Data science and its elements. Chapter 1. Data science and machine learning (ML): an overview and scope of data science ; Chapter 2. Introduction aned basics of machine learning (ML) ; Chapter 3. Machine learning process, associated areas, and managing data in ML models -- Part 2. Machine learning (ML) libraries, data representation, problem formulation, and EDA. Chapter 4. Libraries and algorithms used in machine learning, data, and ML models ; Chapter 5. Working with data -- Part 3. Machine learning models. Chapter 6. Supervised learning models ; Chapter 7. Unsupervised learning models ; Chapter 8. Supervised learning models deep learning models -- Part 4. Machine learning models. Chapter 9. Training machine learning models -- Part 5. Current state of machine learning. Chapter 10. Real-world applications of machine learning.