Joseph Turian creates MetaOptimize for discussion of NLP and ML on big datasets. This includes a blog, but perhaps more importantly a question and answer section. I’m hopeful it will take off.
John, thank you for the support. Here is what other people are saying about the Q+A site:
Philip Resnick (UMD): “Looking at the questions being asked, the people responding, and the quality of the discussion, I can already see this becoming the go-to place for those ‘under the hood’ details you rarely see in the textbooks or conference papers. This site is going to save a lot of people an awful lot of time and frustration.”
Aria Haghighi (Berkeley): “Both NLP and ML have a lot of folk wisdom about what works and what doesn’t. A site like this is crucial for facilitating the sharing and validation of this collective knowledge.”
Alexandre Passos (Unicamp): “Really thank you for that. As a machine learning phd student from somewhere far from most good research centers (I’m in brazil, and how many brazillian ML papers have you seen in NIPS/ICML recently?), I struggle a lot with this folk wisdom. Most professors around here haven’t really interacted enough with the international ML community to be up to date” (http://news.ycombinator.com/item?id=1476247)
Ryan McDonald (Google): “A tool like this will help disseminate and archive the tricks and best practices that are common in NLP/ML, but are rarely written about at length in papers.”
esoom on Reddit: “This is awesome. I’m really impressed by the quality of some of the answers, too. Within five minutes of skimming the site, I learned a neat trick that isn’t widely discussed in the literature.” (http://www.reddit.com/r/MachineLearning/comments/ckw5k/stackoverflow_for_machine_learning_and_natural/c0tb3gc)
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Great info. thanks for sharing.
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