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Model-Based Machine Learning Book

365 点作者 r0f1超过 6 年前

7 条评论

formalsystem超过 6 年前
As someone who has read pretty much every single applied ML and theoretical ML book out there, I&#x27;m extremely excited about this.<p>The theoretical books tend to go over a laundry list of techniques without much clear motivation. The applied books often just take a single technique and write the code for it.<p>This book, on the other hand, is teaching you how to think like a statistician to solve some nontrivial analytical problems. Not many new books even cover this skillset, so you&#x27;ll most likely be learning a lot of net new things.
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dang超过 6 年前
Discussed in 2016: <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=13099698" rel="nofollow">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=13099698</a>
amrx431超过 6 年前
Uses this <a href="https:&#x2F;&#x2F;dotnet.github.io&#x2F;infer&#x2F;" rel="nofollow">https:&#x2F;&#x2F;dotnet.github.io&#x2F;infer&#x2F;</a>. Would have been easier with some Python packages.
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mlazos超过 6 年前
I really enjoyed doing some of the problems in this book. I worked on a team at Microsoft that used the inbox clutter algorithm in production and it was illuminating to see a real life application of graphical models.
bad_news_bears超过 6 年前
Am I reading that site correctly, that the full book has not yet been released? Does anyone know of a timeline for it?
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metakermit超过 6 年前
Looks really well written – the fun &amp; practical examples look very inviting.
tomrod超过 6 年前
Well done to the authors. I am deep in this space. This book looks to be solid on my skim of TOC and chapter 2.