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The Curiosity Super-Resolution Challenge

submitted by igorcarron [link] [comment]

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MapReduce Patterns, Algorithms, and Use Cases

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Mining of Massive Datasets: Free E-Book from Stanford prof

submitted by rrenaud [link] [3 comments]

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Where to download massive data sets (millions of entries, several gigs of data)?

So far I've found: http://www.grouplens.org/node/12/ and http://www.infochimps.com/datasets/ Any others? submitted by kurtgodelisdead [link] [15 comments]

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What makes Paris look like Paris?

submitted by fnord123 [link] [4 comments]

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Multivalent: intermittently maintained Java toolset for document storage

submitted by unquietwiki [link] [comment]

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Need Weka help -- creating association rules for specific attributes?

How would I go about getting Weka to display rules for specific attributes, such as rules that only have petalwidth on the left hand side? Most of the tutorials I've come across are either too simple...

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Supervised Kmeans clustering (2008)

submitted by rrenaud [link] [comment]

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My company (Predictive Analytic/Machine Learning Start up) is looking for a...

Not sure if this belongs here, but thought people might be interested. PM me for more details. Here is the company site. Predixionsoftware.com submitted by setg [link] [4 comments]

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The Invention of Compressive Sensing and Recent Results

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pharmacological research from Journal of Chemical Information and Modeling -...

submitted by carrotsaredangerous [link] [1 comment]

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Patterns for Research in Machine Learning

submitted by agconway [link] [2 comments]

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Neural networks to find patterns in text

I am trying to understand something a former boss once said. He was talking about a project he worked on a while back where they used neural networks to identify patterns (law cites, to be precise) in...

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Comparing resampling methods

What are the advantages and disadvantages of using one resampling method over another for training models to avoid overfitting? I ask because I've recently started using the amazing caret package for R...

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Great, free intro to data mining & machine learning

submitted by mymackeeledover [link] [2 comments]

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Graph Database + Encoder Graph = Human Brain Size Unsupervised Learning?

Has there been any research on combining a graph database such as pregel and deep learning? For example, take a graph of encoders where encoder+decoder = autoencoder (contractive/denoising/sparse) or...

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Do I need to learn R?

I've been focusing mostly on learning python and it has allowed me to work through some intros on machine learning and data mining, and build a few applications for practice. I'm trying to think of...

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Information Theory, Pattern Recognition, and Neural Networks: class from...

submitted by rrenaud [link] [4 comments]

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Deriving Linear Filters from the Fokker Planck Kolmogorov Equation or...

Hello All, For those unfamiliar with the equations or filters mentioned, let me explain: The Fokker Planck Kolmogorov equation (FPKE) and the Chapman-Kolmogorov equation (CKE) are both equations which...

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Computational sociology

I am puzzled by the lack of ML research (/groups) using ML to solve or understand sociological problems (poverty, hunger, etc.). Could anyone point me to PhD/MSc/Private-Sector research/work in this...

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