[Online] State of Bayes Lecture Series: Session 6 Gaussian Processes

Are you ready to unlock the power of Gaussian Processes in Bayesian statistics?

Join us for an engaging webinar where we dive into the fascinating world of Gaussian Processes and their applications.

Date: June 22nd, 2023
Time: 4 pm UTC / 9 am PT / 12 pm ET / 6 pm Berlin
Speaker: Maxim Kochurov, a core PyMC developer and Principal Data Scientist at PyMC Labs
Register now: [Online] State of Bayes Lecture Series: Session 6 Gaussian Processes, Thu, Jun 22, 2023, 12:00 PM | Meetup

In this session, we will focus on building intuition and exploring potential applications rather than getting lost in complicated formulas. You’ll gain a solid understanding of the fundamentals, including:

  • What is a kernel?
  • How to think about kernel parameters
  • Creating a Gaussian process hierarchy

But that’s not all! As a special bonus, we will have an interactive coding session. Together, we’ll apply Gaussian Processes to analyze unbalanced stratified poll data. Get ready to learn the real-world impact of this powerful modeling technique!

Whether you’re a seasoned Bayesian statistician or just starting your journey, this webinar is designed to provide valuable insights and practical knowledge. Don’t miss out on this opportunity to expand your understanding of Gaussian Processes.

Register now by clicking the above link and join us on June 22nd, 2023, at the specified time.

If you’ve missed any of our previous videos, make sure to subscribe to our PyMC Labs YouTube channel to catch up.

:loudspeaker: The Gaussian Processes Lecture recording and slides are now available!


Jupyter with dataset attached:


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