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welcome back so in the last video we talked a lot about how you can use modern methods in data science and machine learning to tackle really hard control systems of modern interest where you might have unknown dynamics nonlinear systems very high dimensional States and limited measurements and in particular we talked about how you could get into data driven modeling you could characterize your system with data you can do data driven control you can directly use machine learning to learn effective control laws and we can also use these methods for optimization for sparse optimal sensor and actuator placement so right now what Im going to talk about is essentially an overview of data driven modeling okay so now Im gonna give you just the roadmap of how you would use data science and machine learning for system identification so really thats what Im talking about is system identification and this will be a large part of this lecture series so there will be multiple lectures in the ve