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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.\n\nThis episode is brought to you by\xa0Crawlbase, the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Email\xa0natalie@superdatascience.com\xa0for sponsorship information.\n\nIn this episode you will learn:\n\u2022 Practical introduction to Bayesian statistics [04:54]\n\u2022 Definition and significance of epistemology [17:52]\n\u2022 Explanation of PyMC and Monte Carlo methods [27:57]\n\u2022 How to get started with Bayesian modeling and PyMC [34:26]\n\u2022 PyMC Labs and its consulting services [50:50]\n\u2022 ArviZ for post-modeling diagnostics and visualization [01:02:23]\n\u2022 Gaussian processes and their applications [01:09:02]\n\nAdditional materials:\xa0www.superdatascience.com/793