Introduction to PyMC3 for Bayesian Modeling and Inference
About this Course
The objective of this course is to introduce PyMC3 for Bayesian Modeling and Inference, The attendees will start off by learning the the basics of PyMC3 and learn how to perform scalable inference for a variety of problems. This will be the final course in a specialization of three courses .Python and Jupyter notebooks will be used throughout this course to illustrate and perform Bayesian modeling with PyMC3.. The course website is located at The course notebooks can be downloaded from this website by following the instructions on page The instructor for this course will be Dr. Srijith Rajamohan.Created by: Databricks
Related Online Courses
In this hands-on guided project you will be introduced to the wonders of Cellular Automata, a powerful modeling framework for the exploration of inter-scale dynamics. That is, how do simple local... more
This specialization is designed for anyone interested in common psychological disorders that may affect themselves, their family, their community, or society. The disorders covered in this course... more
Dive deep into the world of modern web development with this comprehensive specialization. Comprising three distinct courses, this curriculum empowers learners to create cutting-edge, dynamic... more
This course explores the developments that have fueled the emergence of fintech companies around the world. Following the changing regulatory environment, especially since the 1997 Asian and 2008... more
In this course you have the opportunity to use the skills you acquired in the two SAS programming courses to solve realistic problems. This course is also designed to give you a thorough review of... more
Powered by
