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@@ -129,6 +129,18 @@ <h2><a id="endorsements"></a>Endorsements</h2>
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book are essential for a solid understanding of the field,
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and I highly recommend it to students and experts alike."
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-- <a href="http://mlg.eng.cam.ac.uk/zoubin/">Zoubin Ghahramani</a>, Cambridge/Google.
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<p>
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<li> "As a
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researcher trained by Murphy's 2012 book, I was excited to read
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its sequel "Probabilistic Machine Learning: Advanced Topics." This new
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book brings us to the forefront of cutting-edge probabilistic ML,
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distilling the recent advances into a systemic exposition. It
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communicates the core ideas of these recent advances in an
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impressively clear and intuitive way, while managing to convey the
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depth of these ideas by situating them in a broad context. It will
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become a major reference that I constantly return to."
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-- <a href="https://yixinwang.github.io/">Yixin Wang</a>, U. Michigan.
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</ul>
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