Need to create something like bigml for inhouse use in a mid-sized company
Company where I happen to work operate several niche social networks, social network games, etc. I was tasked to create simple prediction and clustering API for in house use. Where should I start? Is...
View ArticleFinal Eurovision predictions, and what to watch for in the voting
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View ArticleEurovision statistics: post-game analysis, and an apology to the people of Malta
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View Article[noob]: Creating preferences list with "not always correct" features
I have the following problem: - A set of 10 classes (for example: dogs, cats, rabbits,...) - A set of 1000 items (pictures of these animals) - For every item I have its class (is it a dog picture, or a...
View ArticleQuestion: Computing similarity of useragents
I'm writing a program, and part of that program aims to detect if two computers connecting to a website are the same. Part of that function uses the useragent strings. I want to build a function that...
View ArticleRemote sources, tagging, and tree filtering for BigML
submitted by jjdonald [link] [1 comment]
View ArticleWhere can I find internships?
I was looking for internships somehow related to machine learning. The problem is that I am a high school student and most are asking for undergrads. I was wondering if there is any company willing to...
View ArticleMixture of Gaussians with TFIDF sparse vectors
Hi guys, I'm a complete newbie when it comes to Machine Learning (and CS in general, I've only had 2 semesters worth of courses). I'm trying to write an algorithm for document classification for an...
View ArticleAdvice for masters ML dissertation project
I've just completed my first year of an AI-based masters programme (I'm a part-time student) and I'm beginning to think about my dissertation project that will be done in year two. Of all classes this...
View ArticleLooking for a refresher on Machine Learning principles for a summer job....
Hey everybody, Title says it all. I'm starting a job in a few days and need to refresh myself on some core machine learning principles. Does anybody have insight on which book might be better-suited...
View Article20 lines of code that will beat A/B testing every time using an...
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View ArticleHow a trio of hackers brought Google’s reCAPTCHA to its knees | Ars Technica
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View ArticleThis seems to good to be true, but I think I've found a way to make the input...
I wanted to get some preliminary feedback about this before spending (and possibly wasting) a few days implementing it. As you know, a Naive Bayes Classifier makes the assumption that all input...
View Article[noob question] I have a natural language project I want to work up to. No ML...
Tech skills include object-oriented JS, SQL, xml, and common related skills for each, like JSON, database design, web services, etc. It's my impression, however, that much of this is useless here....
View ArticleClassification with Naive Bayes when certain features are missing.
Hi all, I understand that Naive Bayes models can be trained with uncertain data (e.g. some of the cases have unlabeled features). However, in all of the cases I've seen, the Naive Bayes model only can...
View ArticleMachine Learning that Matters - position paper from upcoming ICML
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View ArticleHow many lightbulbs does it take to locate somebody ?
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View ArticleFunctional Programming as an alternative to Octave, R, Julia
While reading articles about pros and cons of programming languages for statisticians and researchers I never came across anyone, who would suggest Functional Programming instead of Octave or R and I'm...
View ArticleUsing CRF to classify an entire sequence, not single elements
Hi all, for my thesis I have to classify sequences of vectors (representing linguistic and sound features of spoken words) in a few number of classes (representing speech emotions), starting from some...
View ArticleWould you like to describe Conditional Random Fields for me?
I'm an undegraduate in language technology, and am right now writing a paper on Chinese word segmentation where the program I'm evaluating is using Conditional Random Fields for statistical modeling...
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