Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Singapore: Springer. URL: https://link.springer.com/book/10.1007/978-981-19-4755-1 ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Abstract: In this work, a continual learning problem for time-varying Li-ion battery systems is investigated based on a Physics-Informed Bayesian Neural Network (PI-BNN) approach. To build an ...

Objective: To compare the efficacy of different anesthetic adjuvants combined with sevoflurane across specific surgical sites using a Bayesian network meta-analysis. Methods: A systematic review was ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: This work presents a data-efficient approach for optimizing microwave devices by combining Bayesian optimization with physics-informed Gaussian process models. The proposed approach models ...

Here is a tutorial on how to use GitHub and GitHub classroom as a student. You can also check out the following guide.