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Anh Nguyen from Lancaster's Projects

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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Kellogg PhD Computational Social Science: Methods and Applications

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Lab materials for Agron 590RD @ ISU

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Materials for workshops on text mining, machine learning, and data visualization

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Lab Materials for the lecture GSERM'21 course "Deep Learning: Fundamentals and Applications".

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Calibration of disutility of labor parameters in overlapping generations model

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Rmd source files for the HarvardX series PH525x

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R Markdown files for labs used in the Statistics with R Specialization courses on Coursera

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Labs for the Foundations of Applied Mathematics curriculum.

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Labs for Statistics with R Specialization

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Lab material for ECON457 fall 2016 at UVic

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Content for workshop at 2017 Learning Analytics and Knowledge (LAK) Conference in Vancouver

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