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Bayesian methods take the spotlight in this episode with Alex Andorra, co-founder of PyMC Labs, and Jon Krohn. Learn how Bayesian techniques handle tough problems, make the most of prior knowledge, and work wonders with limited data. Alex and Jon break down essentials like PyMC, PyStan, and NumPyro libraries, show how to boost model efficiency with PyTensor, and talk about using ArviZ for top-notch diagnostics and visualizations. Plus, get into advanced modeling with Gaussian Processes.

This episode is brought to you by Crawlbase (https://crawlbase.com), the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• Practical introduction to Bayesian statistics [04:54]
• Definition and significance of epistemology [17:52]
• Explanation of PyMC and Monte Carlo methods [27:57]
• How to get started with Bayesian modeling and PyMC [34:26]
• PyMC Labs and its consulting services [50:50]
• ArviZ for post-modeling diagnostics and visualization [01:02:23]
• Gaussian processes and their applications [01:09:02]

Additional materials: www.superdatascience.com/793

The Super Data Science Podcast: Machine Learning | AI | Success

793: Bayesian Methods and Applications, with Alexandre Andorra

Harmonik - harmonik time (teaser)

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

793: Bayesian Methods and Applications, with Alexandre Andorra

Super Data Science: ML & AI Podcast with Jon Krohn