Introduction to PyMC3 for Bayesian Modeling and Inference

Databricks
via Coursera
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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 https://sjster.github.io/introduction_to_computational_statistics/docs/index.html. The course notebooks can be downloaded from this website by following the instructions on page https://sjster.github.io/introduction_to_computational_statistics/docs/getting_started.html.

Instructor(s)

Dr. Srijith Rajamohan
Databricks
via Coursera
Free (audit)
English
Paid Certificate Available
Approx. 12 hours to complete
Self paced
Beginner Level
Subtitles: Subtitles: English