GitHub

Kalman and Bayesian Filters in Python

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 ...
GitHub

Kalman and Bayesian Filters in Python

本项目是Kalman and Bayesian Filters in Python的中文翻译，这本书以足够通俗易懂的方式来解释了卡尔曼滤波器等一众滤波器的原理 ...
INSPIRE

Taweret: a Python package for Bayesian model mixing

Uncertainty quantification using Bayesian methods is a growing area of research. Bayesian model mixing (BMM) is a recent development which combines the predictions from multiple models such that each ...
IEEE

Bayesian Analysis with Python: A practical guide to probabilistic modeling

Conduct Bayesian data analysis with step-by-step guidance Gain insight into a modern, practical, and computational approach to Bayesian statistical modeling Enhance your learning with best practices ...
IEEE

Enhancing Deep Learning with Bayesian Inference: Create more powerful, robust deep learning systems with Bayesian deep learning in Python

Deep learning has an increasingly significant impact on our lives, from suggesting content to playing a key role in mission- and safety-critical applications. As the influence of these algorithms ...
India Today on MSN

IITs are offering 11 free data science and analytics courses. Join by Jan 26

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R, databases and big-data stats. These are all free to audit, and enrolment ...