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murphyk authored May 13, 2021
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Expand Up @@ -128,6 +128,7 @@ <h2><a id="endorsements"></a>Endorsements</h2>
If you master the material in this book, you will have an outstanding foundation for successful research in machine learning.”
-- <a href="http://web.engr.oregonstate.edu/~tgd/">Tom Dietterich</a>, U. Oregon

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"This book delivers a wonderful exposition of modern and traditional machine learning approaches through the language and lens of probabilistic reasoning.
As such, it provides extremely valuable and much needed coherence, generalisation, and mathematical rigour,
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