Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...
Abstract: Statistical learning with programming can be used to improve statistical literacy, teach students, and promote educational innovations in information-driven universities through ...
Abstract: Contribution: A problem-solving approach (PSA) model derived from major computational thinking (CT) concepts. This model can be utilized to formulate solutions for different algorithmic ...
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