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Human Understandable Compression

I'd like to take a dataset and answer the question "what's the least amount of data I need to reproduce the whole dataset with, say, 95% accuracy?" Then, I'd like to know how/how much each variable...

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Natural Language Processing Tools in PHP

submitted by katharas [link][13 comments]

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Methods and Techniques for Geometric Shape Detection?

I'm currently in high school working on a research project with help from a local computer science professor. I'm aiming towards improving the classification accuracy of landforms on terrestrial...

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If anyone is interested here, a bunch of other Redditors and I are making a...

You program robots to fight each other to the death! If you're interested, join our Google+ community here.To learn more about RoboCode, look at the IBM Developer Works and the robo wiki!RoboCode is...

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Dictatorship of data: Robert McNamara and the Dangers of Big Data at Ford,...

submitted by DevFRus [link][3 comments]

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Why Big Data Is Not Truth: 6 myths of big data [x-post r/technology]

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Geoff Hinton - Recent Developments in Deep Learning

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Using Metadata to find Paul Revere

submitted by pmorrisonfl [link][3 comments]

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How to probabilistically generate a sequence according to hidden, noisy rules...

How would you generate a sequence based on previous known sequences, some of which may have some errors? For example, if one had symbols from an unknown script, but many examples of sentences, one...

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First NuPIC Hackathon

submitted by numenta [link][7 comments]

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Slides: Machine Learning in R

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Is it possible to achieve position independent and size (and so...

As the title says, is it possible to achieve digit recognition from training data of different dimensionalities (i.e. pixel resolutions), independent of line thickness, position in the image and...

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What is the best suited algorithm for this feature set and this problem?...

I have the NLP part down, tags are going to be applied to a set of documents with free text in it. Free text is of variable length.These tags contain unique identifiers for terms in a dictionary, these...

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New method uses network of cameras to track people in complex indoor settings

submitted by webdoodle [link][1 comment]

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Need some advice on ML tools to use for a personal project

Here's how I frame the problem: given a reddit post in a specific topic (like the Xbox One), decide whether the comments in the post favor or dislike the topic and by how much.I know the basics of ML,...

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So, is anyone coming to ICML in Atlanta next? (ICML is one of the 2 big...

submitted by urish [link][5 comments]

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Details emerge of the algorithm used in Google's photo search

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Any Beginners books/site to get started using Scikit-Learn?

Hi, I'm trying to use scikit learn, and doing my best to correlate with the functions and the formulas i've learn't in the ml-class by Andrew Ng. I am able to apply the scikit learn functions to...

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Content-based image classification in Python

submitted by theglamp [link][7 comments]

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Matter over Mind in Machine Learning

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