Bayesian methods are front and center in this episode featuring Alex Andorra, co-founder of PyMC Labs. Alex sits down with ‪@JonKrohnLearns‬ to explain how Bayesian techniques solve complex problems, leverage prior knowledge, and optimize limited data. They discuss PyMC, PyStan, and NumPyro for robust Bayesian modeling, boosting model efficiency with PyTensor and GPU acceleration, and using ArviZ for advanced diagnostics and visualizations. Alex also covers implementing Gaussian Processes for intricate, non-linear data insights.
Watch the full interview “793: Bayesian Methods and Applications - with Alexandre Andorra” here: www.superdatascience.com/793