This is a Bayesian python toolbox for inference and forecast of the spread of the Coronavirus. We also provide a variety of data download utilities which allow quick and easy data exploration of ...

PyVBMC is a Python implementation of the Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference, previously implemented in MATLAB. VBMC is an approximate inference method ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

Bachelor's / Masters Degree with an experience 3 - 7 years in technology architecture, designing, developing and implementing customized IT solutions on AI / ML systems. Job Location: Mahape, Navi ...

Bayesian inference combines prior knowledge with new data to enhance prediction accuracy. Probabilistic machine learning provides effective techniques for managing uncertainty in data analysis.