4 Replies to “MetaOptimize”

  1. 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)

  2. Pingback: “Statistical Analysis Q&A website” did StackOverFlow just lose it to MetaOptimize? and is it good or bad? | R-statistics blog
  4. Pingback: StackOverFlow and MetaOptimize are battling to be the #1 “Statistical Analysis Q&A website” – to whom would you signup? | sumber referensi statistika

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