Vincent D Warmerdam - The Duct Tape of Heroes Bayesian statistics
PyData London 2016
In this talk I will give many examples of when Bayes rule will help you in your day to day work. I'll quickly show many examples of bayesian statistical thinking in action; the pleasure of inference, probabilistic graphs, model selection, feature generation, even operations research! I'll finish with a dataset from Heroes of the Storm and I'll show why Bayesian models can outperform randomforests.
My talk is made up of the following examples;
-basic disease example: what is the value of adding an extra test to a patient
-give an example of an inference task that is very hard to do properly without bayesian thinking
-creating simple probibalistic models with pandas and showing how they are robust against missing data
-demo the daft, corner and pomegrenate library
-show how you can use bayes rule to pick models
-demo a bayesian probablistic approach to finding overpowered characters in the Heroes of the Storm video game.
Slides available here: http://koaning.io/theme/notebooks/bayes.pdf
Видео Vincent D Warmerdam - The Duct Tape of Heroes Bayesian statistics канала PyData
In this talk I will give many examples of when Bayes rule will help you in your day to day work. I'll quickly show many examples of bayesian statistical thinking in action; the pleasure of inference, probabilistic graphs, model selection, feature generation, even operations research! I'll finish with a dataset from Heroes of the Storm and I'll show why Bayesian models can outperform randomforests.
My talk is made up of the following examples;
-basic disease example: what is the value of adding an extra test to a patient
-give an example of an inference task that is very hard to do properly without bayesian thinking
-creating simple probibalistic models with pandas and showing how they are robust against missing data
-demo the daft, corner and pomegrenate library
-show how you can use bayes rule to pick models
-demo a bayesian probablistic approach to finding overpowered characters in the Heroes of the Storm video game.
Slides available here: http://koaning.io/theme/notebooks/bayes.pdf
Видео Vincent D Warmerdam - The Duct Tape of Heroes Bayesian statistics канала PyData
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
![Vincent Warmerdam: How to Constrain Artificial Stupidity | PyData London 2019](https://i.ytimg.com/vi/Z8MEFI7ZJlA/default.jpg)
![Bayesian Statistics Made Simple | Scipy 2019 Tutorial | Allen Downey](https://i.ytimg.com/vi/-X0BiV9n_fQ/default.jpg)
![Vincent Warmerdam: Gaussian Progress | PyData Berlin 2019](https://i.ytimg.com/vi/aICqoAG5BXQ/default.jpg)
![Keynote: Judea Pearl - The New Science of Cause and Effect](https://i.ytimg.com/vi/ZaPV1OSEpHw/default.jpg)
![LSE Events | Professor David Spiegelhalter | Learning from Data: the art of statistics](https://i.ytimg.com/vi/_DhOMdcbjuU/default.jpg)
![Christian Hennig - Assessing the quality of a clustering](https://i.ytimg.com/vi/Mf6MqIS2ql4/default.jpg)
![Bayesian Theories of Perception and Cognition](https://i.ytimg.com/vi/aWEBVY4PFZE/default.jpg)
![David Dunson: Scalable Bayesian Inference (NeurIPS 2018 Tutorial)](https://i.ytimg.com/vi/6zOTL5S9H-Y/default.jpg)
![Adrien Treuille: Turn Python Scripts into Beautiful ML Tools | PyData LA 2019](https://i.ytimg.com/vi/0It8phQ1gkQ/default.jpg)
![Vincent Warmerdam: Winning with Simple, even Linear, Models | PyData London 2018](https://i.ytimg.com/vi/68ABAU_V8qI/default.jpg)
![Vincent D. Warmerdam: Untitled12.ipynb | PyData Eindhoven 2019](https://i.ytimg.com/vi/yXGCKqo5cEY/default.jpg)
![Probabilistic Programming in the Real World - Zach Anglin](https://i.ytimg.com/vi/5f-9xCuyZh4/default.jpg)
![Some Bayesian Modeling Techniques in Stan](https://i.ytimg.com/vi/uSjsJg8fcwY/default.jpg)
![Vincent Warmerdam: The profession of solving (the wrong problem) | PyData Amsterdam 2019](https://i.ytimg.com/vi/kYMfE9u-lMo/default.jpg)
![Jan Freyberg: Active learning in the interactive python environment | PyData London 2019](https://i.ytimg.com/vi/W2bJH0iXTKc/default.jpg)
![Keith Kraus: High-Performance Data Science at Scale with RAPIDS, Dask, and GPUs | PyData NYC 2019](https://i.ytimg.com/vi/jjtUgsOwkl0/default.jpg)
![Accuracy as a Failure](https://i.ytimg.com/vi/YGuVuZpTop0/default.jpg)
![Vincent D. Warmerdam - SaaaS - Sampling as an Algorithm Service](https://i.ytimg.com/vi/8g6oF8vUqTU/default.jpg)
![Sebastiaan J. van Zelst: Process Mining in Python | PyData Eindhoven 2019](https://i.ytimg.com/vi/i6NGHvZyHXY/default.jpg)
![Learning to Love Bayesian Statistics](https://i.ytimg.com/vi/R6d-AbkhBQ8/default.jpg)