Bayesian modeling without the math: An introduction to PyMC3
About the Talk: An Intuitive Introduction to Bayesian Modeling Bayesian modeling is an extremely powerful tool in solving data science problems across different domains. And while user-friendly modeling packages like PyMC3 exist, understanding the underlying concepts still provides a challenge for many newcomers. The main reason is that usually, statistics is taught by statisticians who provide formulas with little regard for intuition. In this talk I will take the opposite approach: throw all math out the window and explain the underlying concepts in an intuitive way. Follow us on twitter: @PyDataJeddah

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Machine Learning with 10 Data Points - Or an Intro to PyMC3

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Introduction to Bayesian data analysis - TESA course - Day 1

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Hanna van der Vlis - Clusterf*ck: A Practical Guide to Bayesian Hierarchical Modeling in PyMC3

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AlphaFold - The Most Useful Thing AI Has Ever Done

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The Strange Math That Predicts (Almost) Anything

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A Bayesian Approach to Media Mix Modeling (Michael Johns & Zhenyu Wang)

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Group theory, abstraction, and the 196,883-dimensional monster

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How AI Cracked the Protein Folding Code and Won a Nobel Prize

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Probabilistic Programming and Bayesian Modeling with PyMC3 - Christopher Fonnesbeck

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How To Think SO CLEARLY People Assume You're A Genius

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England – Ghana Highlights | Gruppe L, FIFA WM 2026 | sportstudio

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When an audition changed TV forever

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Tech talk: A practical introduction to Bayesian hierarchical modelling

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Training Sand to Think: Artificial General Intelligence & Future of Physics
![[41] Intro to Probabilistic Programming with PyMC (Austin Rochford)](https://i.ytimg.com/vi/Qu6-_AnRCs8/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLA7PjaJ8Sog80orrAHD6vAFcPdMmg)
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[41] Intro to Probabilistic Programming with PyMC (Austin Rochford)

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Jimmy Carr Roasts a 17-Year-Old Mouthy Mechanic In Front of His Parents!

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Pathwise Conditioning of Gaussian Processes

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Chris Fonnesbeck: An introduction to Markov Chain Monte Carlo using PyMC3 | PyData London 2019

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