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How do you organize your machine-learning pipeline?

I was wondering about the way people organize their machine learning projects. Specifically, it is very common to have a pipeline starting with data in some sort of database, which is fed through...

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Andrew Ng's Stanford Course Materials

submitted by Ars-Nocendi [link][comment]

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The best new research in computational linguistics (from ACL 2013)

submitted by LightSIDELabs [link][comment]

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Ideas for sms-mining.

I was feeling bored, so I pulled all text-message data from my phone to my computer in a csv file. It contains date, time, whether it was out- or in-going, phone number and name of other person, and...

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Adobe, CCRMA and Stanford release sound separation software based on machine...

submitted by Minger [link][2 comments]

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Using ML to build a model from large texts

Preamble: I know only a smidge about ML--took & 'certificated' the Coursera ML course, but that's it.I have a collection of text documents. Each document is roughly 100 pages of scientific text...

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What is supervised learning? An Introduction for Scientists & Engineers

submitted by peterTorrione [link][comment]

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Sometimes simplest learners are best -- a short article reporting results...

submitted by skytomorrownow [link][1 comment]

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Online evolutionary robotics course (crossposted to /r/artificial and...

Hello redditors, I'm Josh Bongard, a robotics professor at the University of Vermont.We have just launched 'Ludobots', an online evolutionary robotics course. After you've completed all 10 assignments,...

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New single unit recordings suggest that prefrontal cortex uses something like...

submitted by ha3virus [link][10 comments]

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Is anyone else here attending the MLSS 2013 in Tuebingen, Germany?

submitted by jamesmcm [link][1 comment]

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Has reddit become a delivery vehicle for the NYT?

Some customization algorithm is wreaking havoc with my reddit -- the first 150 articles are from the New York Times (I haven't checked further down). Help appreciated. I can provide screenshots is that...

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A blog post explaining the Cheng and Church biclustering algorithm

I have been implementing biclustering algorithms for scikit-learn and blogging about them. Here is the latest, which is on Cheng and Church:Cheng and ChurchHere are the discussions the previous ones:An...

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Using Machine Learning to predict games in hockey - I am presenting this at a...

submitted by ScullerLite [link][5 comments]

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Why do texture filter banks change the size of the data?

I'm new to texture analysis. I was experimenting with some pretty standard filter banks when I came across something strange. The data I'm working with is a 2D matrix of dimensions: 379x422. When I put...

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Stop using Plate Notation

submitted by rrenaud [link][15 comments]

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[Help] Dealing with high-variable, (relatively) low-observation data

Apologies if this is inappropiate, but I'm fairly new to ML and having a bit of trouble finding resources for this particular problem.I have 30 observations in 2 classes (15 in each). Each observation...

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Struggling to learn Machine Learning on my own

I'm studying Machine Learning on my own, but with some difficulties. I tried many books on Machine Learning but it wasn't easy to find the right one.Bishop's "Pattern Recognition and Machine Learning"...

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What are some good resources to learn and practice machine learning that...

I am teaching myself (or at least attempting to :-/) the practice of machine learning, but have found many resources out there to require much more advanced knowledge in other subjects (stats, LA,...

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The Variational Approximation for Bayesian Inference: Life after the EM...

submitted by alfonsoeromero [link][2 comments]

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