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GUESS: Awesome Network Graph Exploration System

submitted by Keajer [link][2 comments]

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How to use a pmml and a neural net?

Sorry for the dumb questions. Basically I have the work of a former student and I'm trying to use it to get some quick results in my paper.He has the neural net in a pmml file and I'm trying to figure...

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Any possible interesting project topic for NLP?

I learned some NLP techniques and want to apply them to the real world to enhance my skills. Can any one suggest some interesting topics for me please? submitted by Keajer [link][11 comments]

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Microsoft, Big Data Pick Oscar Winners - And They Are...

submitted by Barbas [link][3 comments]

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Javascript MCMC demo (versus two-tailed t-test)

submitted by b0b0b0b [link][8 comments]

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David Brooks, on "What Data Can't Do"

submitted by agconway [link][4 comments]

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What are some algorithms for feature extraction, particularly when dealing...

I am currently working on a voice identification project and my current dataset is a 250-dimensional vector of intensities at frequency intervals. This was calculated with FFT. Are there any...

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Backpropagation implementation questions - normalizing data and using the net...

Hello, I'm having some problems with my backpropagation implementation. Background: I have feature vectors (inputs) of 40 elements each. I have only 1 output value which is to be a score from 0 to 100...

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Predicting closed questions on Stack Overflow

submitted by winkywooster [link][comment]

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NYU announces new Data Science department headed by Yann LeCun

submitted by rrenaud [link][19 comments]

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Recommendations on which algorithms in WEKA perform well at...

Hello /r/machinelearning,If anyone has already been the through the gauntlet of working with data sets with underrepresented classes I'd be grateful for any recommendation on which algorithms and...

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Machine Learning: 5 examples of what it is and why you should care

submitted by buddybjames [link][4 comments]

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Sentiment Analysis in the real world

Hi r/machinelearning,I'm experimenting with performing a sentiment analysis (positive/negative classification) on review text for a commercial application.As a training set I have ~200k labeled reviews...

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From 1th to 15th at Kaggle challenge "Event recommendation engine"

submitted by kafka399 [link][comment]

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Learning resources for predictive modeling.

I am a computer science student who would like to learn about predictive modeling from scratch(logistic regression models, linear regression models).I do not have much knowledge except basic...

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Backpropagation - how much training data do I need?

Hello, For the last few weeks I've been working on a backprop network and posting a few questions to this forum; I thank you for all the help so far. I've gone from concept, to buggy implementation, to...

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MaxOut - new deep architecture using dropout and max units sets new records...

submitted by rrenaud [link][comment]

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Machine learning resources for .NET developers

submitted by buddybjames [link][1 comment]

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Best way to reduce data in Weka so algorithms run in decent time

I am trying a bunch of data against a bunch of different algorithms in Weka but some of these are so slow. I have a large amount of data, 10000 items, represented by 5 classes and each item is...

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Traitor - associating Concepts using the World Wide Web - Norvig Web Data...

submitted by rrenaud [link][4 comments]

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