rlabbe/Kalman-and-Bayesian-Filters-in-Python

#artificialintelligence 

All code is written in Python, and the book itself is written using Juptyer Notebook so that you can run and modify the code in your browser. What better way to learn? "Kalman and Bayesian Filters in Python" looks amazing! We've been using it internally to teach some key state estimation concepts to folks and it's been a huge help. The world is full of data and events that we want to measure and track, but we cannot rely on sensors to give us perfect information. Each time I pass the same point in the road it reports a slightly different altitude.

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