Designed with engineers in mind, this self-contained book will equip students with everything they need to apply machine learning principles to real-world engineering problems. With reproducible examples using Matlab, and lecture slides and solutions for instructors, this is the ideal introduction for engineering students of all disciplines.

Michael W. Dowdle is an Associate Professor with the National University of Singapore Faculty of Law. He was previously Visiting Chair in Globalization and Governance at Sciences Po in Paris. He also worked as a research fellow for the Regulatory Institutions Network (RegNet) at the Australian National University, and for the Center for Chinese Legal Studies at the Columbia Law School. He has taught courses for the New York University School of Law, the University of Washington School of Law, and the Centre for Transnational Legal Studies (CTLS) in London.

1. Subject, Method, and Organization; 2. Bases of Regulatory Legitimacy; 3. Regulatory Activities; 4. Governance; 5. Enforcement and Non-Compliance; 6. States as Transnational Legal Actors; 7. Legal Pluralism; 8. Transnational Legal Practice; Index.