TE
科技回声
首页24小时热榜最新最佳问答展示工作
GitHubTwitter
首页

科技回声

基于 Next.js 构建的科技新闻平台,提供全球科技新闻和讨论内容。

GitHubTwitter

首页

首页最新最佳问答展示工作

资源链接

HackerNews API原版 HackerNewsNext.js

© 2025 科技回声. 版权所有。

Probabilistic Programming and Bayesian Methods for Hackers (2013)

188 点作者 wojciem超过 5 年前

8 条评论

dang超过 5 年前
A thread from 2016: <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=12330462" rel="nofollow">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=12330462</a><p>2015: <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=9182332" rel="nofollow">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=9182332</a><p>2014: <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=7297195" rel="nofollow">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=7297195</a><p>2013: <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=6351681" rel="nofollow">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=6351681</a><p><a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=6102782" rel="nofollow">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=6102782</a><p><a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=5817713" rel="nofollow">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=5817713</a>
zengid超过 5 年前
I&#x27;m quite familiar with deep learning because it&#x27;s so highly hyped up, but am less familiar with Probabilistic programming and Bayesian methods. So, I have a general question: is anyone using Probabilistic Programming in industry? Have people ditched it for DNNs? Are people taking hybrid approaches to try and mix the two?
评论 #22031501 未加载
评论 #22031555 未加载
hinkley超过 5 年前
The first time I saw this phrase I thought it was going to describe something like software branch prediction, speculative execution, self tuning algorithms, or heck even Bloom filters or hyperloglog. That was a direction my first mentor and I used to talk about and it’s one of my regrets that I never did much in that arena.<p>My brain wants this term to mean something else and I become momentarily excited every time this topic gets reposted.
评论 #22031475 未加载
xvilka超过 5 年前
A corresponding framework in Julia - Turing[1][2].<p><a href="https:&#x2F;&#x2F;turing.ml" rel="nofollow">https:&#x2F;&#x2F;turing.ml</a><p><a href="https:&#x2F;&#x2F;github.com&#x2F;TuringLang" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;TuringLang</a>
kevinskii超过 5 年前
It has been a few years since I looked at this, and it looks like a lot has been added since then. It&#x27;s certainly worth a look. But at the time I found Allen B. Downey&#x27;s &quot;Think Bayes&quot; to be a more thorough and comprehensive resource: <a href="https:&#x2F;&#x2F;greenteapress.com&#x2F;wp&#x2F;think-bayes&#x2F;" rel="nofollow">https:&#x2F;&#x2F;greenteapress.com&#x2F;wp&#x2F;think-bayes&#x2F;</a>
glial超过 5 年前
For anyone interested in learning more, Stan is an excellent alternative probabilistic programming language:<p><a href="https:&#x2F;&#x2F;mc-stan.org" rel="nofollow">https:&#x2F;&#x2F;mc-stan.org</a><p>with thorough documentation:<p><a href="https:&#x2F;&#x2F;mc-stan.org&#x2F;users&#x2F;documentation&#x2F;" rel="nofollow">https:&#x2F;&#x2F;mc-stan.org&#x2F;users&#x2F;documentation&#x2F;</a>
inertiatic超过 5 年前
Oh, I&#x27;ve been meaning to go through this book as we used PyMC (I only did reviews and this went over my head a lot) on my last job to build an AB testing system.<p>I recently started going through it again and it&#x27;s pretty fascinating as someone not familiar with the field.
odyslam超过 5 年前
Thanks for sharing! I have been wanting to get into the field in order to play around with Monte Carlo Random Walks.