Python Probabilistic Programming with PyMC by Diego J. Orozco (.ePUB)+

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File Size: 10 MB

Python Probabilistic Programming with PyMC & ArviZ: A Practical Guide to Bayesian Modeling, Inference, and Real-World Applications by Diego J. Orozco
Requirements: .ePUB, .PDF reader, 10 MB
Overview: Master Python Probabilistic Programming for Real-World Data Science and Bayesian Analysis. If you want to level up your Data Science skills and make better, data-driven decisions, Python Probabilistic Programming with PyMC & ArviZ is your complete, practical guide. Perfect for beginners and professionals alike, this book covers everything from Bayesian statistics with Python to advanced probabilistic graphical models—all through clear explanations and hands-on projects. Using PyMC3 and ArviZ tutorials, you’ll learn step-by-step how to perform Bayesian inference for beginners, design powerful statistical modeling with Python, and solve complex problems with Machine Learning using Bayesian methods. No endless theory—just real-world, actionable skills. Whether you’re a student, developer, or data analyst, this book will help you confidently apply Bayesian methods to Python Data Science projects and turn raw numbers into meaningful results.
Genre: Non-Fiction > Tech & Devices

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