# Model-based machine learning + Edward

**URL:** <https://discourse.edwardlib.org/t/model-based-machine-learning-edward/333>\
**Category:** General\
**Created:** [August 31, 2017, 4:50pm UTC](https://discourse.edwardlib.org/t/model-based-machine-learning-edward/333 "2017-08-31T16:50:07Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![davidsteinar](https://avatars.discourse-cdn.com/v4/letter/d/43a26b/32.png) [@davidsteinar](https://discourse.edwardlib.org/u/davidsteinar)\
**Post date:** [August 31, 2017, 4:50pm UTC](https://discourse.edwardlib.org/t/model-based-machine-learning-edward/333/1 "2017-08-31T16:50:08Z")

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The upcoming book [Model-Based Machine Learning](http://mbmlbook.com) by John Winn and Chris Bishop presents machine learning in a model based, probabilistic framework.

The book contains in detail several examples (skill ranking, email filtering, time series modeling) in a Bayesian probabilistic framework.

All the examples are solved using message passing or belief propagation inference with [Infer.NET](http://infernet.azurewebsites.net/)

Could this be done with Edward? I think it would be very strong to extend the examples folder following the MBML book.

Your thoughts?

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**Author:** ![dustin](https://yyz1.discourse-cdn.com/flex035/user_avatar/discourse.edwardlib.org/dustin/32/134_2.png) [@dustin](https://discourse.edwardlib.org/u/dustin)\
**Post date:** [September 8, 2017, 6:54pm UTC](https://discourse.edwardlib.org/t/model-based-machine-learning-edward/333/2 "2017-09-08T18:54:17Z")

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As with many things, it only requires someone to put in the time. It’s certainly possible with our current algorithms. That said, Kevin Murphy is preparing a new version of his textbook and is using Edward; Dave Blei is preparing a graphical model textbook (not released in a few years) that also uses Edward. It would be nice if someone (either Chris Bishop or any enthusiastic Edward user) to convert the examples.