Is he a man or a country? Find out in today's episode with Alexandre Andorra — developer of the leading Bayesian library for Python, implementer of commercial Bayesian models and leading Bayesian educator/podcaster!
More on Alex:
• Co-Founder and Principal Data Scientist at PyMC Labs, a firm that develops PyMC (the leading Python library for Bayesian statistics) and consults with their clients to implement profit-increasing Bayesian models.
• Co-Founder and Instructor at an online learning platform called Intuitive Bayes that provides free Bayesian stats education.
• Creator and Host of an excellent podcast called Learning Bayesian Statistics.
Today’s episode will probably appeal most to hands-on practitioners like statisticians, data scientists and machine learning engineers, but the episode also serves as an introduction to Bayesian statistics for anyone who’d like to learn about this important, unique and powerful field.
In today’s episode, Alex details:
• What Bayesian statistics is.
• The situations where Bayesian stats can solve problems that no other approach can.• Resources for learning Bayesian stats.
• The key Python libraries for implementing Bayesian models yourself.
• How Gaussian Processes can be incorporated into a Bayesian framework in order to allow for especially advanced and flexible models.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.