What is a BEST approximation? (Theory of Machine Learning)

Here we start our foray into Machine Learning, where we learn how to use the Hilbert Projection Theorem to give a best approximation of a function. This way we learn a function using an optimization procedure. To do this, we use the moments of a function.

//Watch Next
The Real Analysis Survival Guide    • The Real Analysis Survival Guide  
The Analyticity of the Laplace transform    • Morera's Theorem in Practice - Laplace Tra...  
Introduction to Control Theory    • Introduction to Control Theory  


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This content is partially supported by National Science Foundation - Award ID 2027976, Air Force Office Of Scientific Research - Award FA9550-20-1-0127 and FA9550-21-1-0134. I am responsible for all opinions and content, and what I say does not necessarily reflect the sponsoring organizations.


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