ML/DO 4: Estimator Objectives and Tuning



Week 4: Estimator Objectives and Tuning

Artificial Intelligence and Dynamic Optimization is a course on the theory and applications of mathematical options of time-varying systems with a concentrate on engineering style and real-time control applications. Principles taught in this course consist of physics-based and empirical modeling, artificial intelligence classification and regression, nonlinear programming, estimate, and advanced control approaches such as model predictive control. The course is easily available and can be accessed online with all source code and service videos for self-paced learning.

Maker Learning and Dynamic Optimization Course Summary https://apmonitor.com/do
Device Learning and Dynamic Optimization Course Arrange https://apmonitor.com/do/index.php/Main/CourseSchedule
⏩ Data Science Short Course: https://apmonitor.com/che263/index.php/Main/DataScience



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