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The Bayesian Zig Zag: Developing and Testing PyMC Models (Allen Downey)

The Bayesian Zig Zag: Developing and Testing PyMC Models (Allen Downey) PyMC Developers

3.1K views - 5 years ago

My Journey in Learning and Relearning Bayesian Statistics (Ali Akbar Septiandri)

My Journey in Learning and Relearning Bayesian Statistics (Ali Akbar Septiandri) PyMC Developers

786 views - 5 years ago

L2: Bayesian Thinking (State of Bayes Lecture Series)

L2: Bayesian Thinking (State of Bayes Lecture Series) PyMC Labs

1.5K views - 2 years ago

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

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

37.8K views - 5 years ago

L4: Interpretable Linear Regressions (State of Bayes Lecture Series)

L4: Interpretable Linear Regressions (State of Bayes Lecture Series) PyMC Labs

1K views - 2 years ago

151 Diffusion Models in Python, a Live Demo with Jonas Arruda

151 Diffusion Models in Python, a Live Demo with Jonas Arruda Learning Bayesian Statistics

212 views - 1 week ago

L7: Gaussian Processes for Time Series (State of Bayes Lecture Series)

L7: Gaussian Processes for Time Series (State of Bayes Lecture Series) PyMC Labs

1.4K views - 2 years ago

L6: Gaussian Processes (State of Bayes Lecture Series)

L6: Gaussian Processes (State of Bayes Lecture Series) PyMC Labs

1.4K views - 2 years ago

L1: Introduction (State of Bayes Lecture Series)

L1: Introduction (State of Bayes Lecture Series) PyMC Labs

2.9K views - 2 years ago

L5: Bayesian AB Testing (State of Bayes Lecture Series)

L5: Bayesian AB Testing (State of Bayes Lecture Series) PyMC Labs

1.9K views - 2 years ago

151 Diffusion Models in Python, a Live Demo with Jonas Arruda

151 Diffusion Models in Python, a Live Demo with Jonas Arruda Learning Bayesian Statistics

58 views - 1 week ago

The Bayesians are Coming to Time Series

The Bayesians are Coming to Time Series AICamp

33.8K views - 4 years ago

L3: Hierarchical Modeling (State of Bayes Lecture Series)

L3: Hierarchical Modeling (State of Bayes Lecture Series) PyMC Labs

2.8K views - 2 years ago

Time Series Forecasting in Python – Tutorial for Beginners

Time Series Forecasting in Python – Tutorial for Beginners freeCodeCamp.org

88.9K views - 6 months ago

#118 Exploring the Future of Stan, with Charles Margossian & Brian Ward

#118 Exploring the Future of Stan, with Charles Margossian & Brian Ward Learning Bayesian Statistics

319 views - 1 year ago

Frequentism and Bayesianism: What's the Big Deal? | SciPy 2014 | Jake VanderPlas

Frequentism and Bayesianism: What's the Big Deal? | SciPy 2014 | Jake VanderPlas Enthought

115.2K views - 11 years ago

#76 The Past, Present & Future of Stan, with Bob Carpenter

#76 The Past, Present & Future of Stan, with Bob Carpenter Learning Bayesian Statistics

45 views - 2 years ago

Alex Korbonits: Deep Learning with Python: getting started & getting from ideas to insights in mins

Alex Korbonits: Deep Learning with Python: getting started & getting from ideas to insights in mins PyData

16.4K views - 10 years ago

#30 Symbolic Computation & Dynamic Linear Models, with Brandon Willard

#30 Symbolic Computation & Dynamic Linear Models, with Brandon Willard Learning Bayesian Statistics

28 views - 2 years ago

#32 Getting involved into Bayesian Stats & Open-Source Development, with Peadar Coyle

#32 Getting involved into Bayesian Stats & Open-Source Development, with Peadar Coyle Learning Bayesian Statistics

86 views - 5 years ago