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The second edition of Bayesian Analysis with Python is an introduction to the main concepts of applied Bayesian inference and its practical implementation in Python using PyMC3, a state-of-the-art probabilistic programming library, and ArviZ, a new library for exploratory analysis of Bayesian models.
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⭐️ Bayesian Analysis with Python, 2nd Edition Packt.pdf (29.59 MB)
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✅ Bayesian Analysis with Python, 2nd Edition Packt (29.59 MB)
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