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Week 6: Mid-Term Exam on Digital Twins and Regression

Machine Learning and Dynamic Optimization is a course on the theory and applications of numerical solutions of time-varying systems with a focus on engineering design and real-time control applications. Concepts taught in this course include physics-based and empirical modeling, machine learning classification and regression, nonlinear programming, estimation, and advanced control methods such as model predictive control. The course is freely available and can be accessed online with all source code and solution videos for self-paced learning.

👨‍🎓 Machine Learning and Dynamic Optimization Course Overview https://apmonitor.com/do
👩‍🎓 Machine Learning and Dynamic Optimization Course Schedule https://apmonitor.com/do/index.php/Ma...
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