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Sentiment analysis with Vowpal Wabbit

Similar to the MLWave article, I just put up an educational post detailing how to make a submission to the Rotten Tomatoes Sentiment Analysis competition using Python (or Excel, :shudder:) and Vowpal...

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More than 250 million global events are now in the cloud for anyone to analyze

submitted by abashinyan [link][12 comments]

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Questions from Deep Sparse Rectifier Networks

I was reading this paper by xavier glorot, and had some questions about how to implement his methodshttp://eprints.pascal-network.org/archive/00008596/01/glorot11a.pdf1.He says in the section in...

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Spark Release 1.0.0

submitted by turnersr [link][1 comment]

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Machine Learning Study Group - Thread #1

So I posted a while back ago about a machine learning study group. Sorry for the delay in following up on that, things have been somewhat hectic as I am relocating for a new job. Just as a reminder,...

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Mining sequences of events

Hi everyone, I am working right now on a problem but I don't see how to start. I have a list of events (issues) with a location information, a timestamp and a cost. And what I am trying to find, is if...

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Machine learning in R better than in scikit-learn ?

Hi everyone, I just got into kaggle competitions this weekend, and like everyone I started with the titanic challenge. First I used scikit-learn's randomForests ( along with other classifiers that...

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Coursera: Machine Learning

submitted by kalden31 [link][10 comments]

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Anyone aware of a GPU boosted regression tree implementation. Seems a logical...

They train pretty fast to begin with and, for training, at each new tree node a portion of the observation matrix is evaluated 1 feature at a time. Unlike bagging, the trees can't be trained in...

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ML Perspectives: Engineering vs Statistics? Choosing Masters program

Hi everyone, I was wondering what way Electrical Engineers approach ML vs. how Statisticians do. I know that conventionally ML is under computer science, but I am trying to choose between EE and Stats...

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FastML TL;DR for Yann Lecun's AMA

submitted by xamdam [link][5 comments]

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Are there any good books or resources on EEG pattern recognition?

submitted by mrboombastic123 [link][2 comments]

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“Sway” Trained Sinus Activated Neural Networks - Monte Carlo Exploration of...

submitted by abseeley [link][4 comments]

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Must-reads in ML literature

There are a wealth of online and offline resources on machine learning. What works do you think every student of machine learning should acquaint himself with? I think Bishop's Pattern Recognition and...

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Bandit Algorithms for Recommendation Systems

submitted by sergeyfeldman [link][4 comments]

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SVM predicts single value, trained on real data. Trying to predict using...

Hey All, I've trained a svm model using the e1071 svm() function in R. When testing using my test set, I get fairly good results in my eyes. It doesn't have to be perfect and the average error is...

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Good approach for Job Titles Clustering?

On my job i have a dateset of more than 10K job titles. I would like to cluster them into a smaller dataset. I have tried the approaches for clustering available in OpenRefine, as well as a modifed...

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AI Now

submitted by AINowProject [link][5 comments]

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Clustering algorithm for gps data

I have a data set consisting of gps coordinates for points over a particular city (let's take San Francisco for example). I want to cluster the coordinates into groups such as in the image:...

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How does GPS-Segment Matching like Strava Work?

I'm not a cyclist, but some colleagues of mine showed me Strava today. Basically they upload data from their GPS device from their ride in the morning and Strava manages to match the GPS data to known...

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