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Introductory Video

Thompson Sampling for Machine Learning


In this talk I hope to give a clear overview of the opportunities for applying Thompson Sampling in machine learning. I will share some technical examples in recent developments (for example Bayesian Neural Networks using Edward) but more importantly I hope to trigger the audience to start thinking strategically about how we want our machine learning models to learn from new data.

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Editors Note:

I would like to work with open source projects to create a branch of the tree with all of the best videos for your open source project. Please send me an email if you are interested.  

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