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ccv 0.6 open sources near state-of-the-art image classifier under Creative...

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A paper on effective visualization of generalized additive models

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An Introduction to Deep Learning: From Perceptrons to Deep Networks

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Your intuitions to scikit-learn in just 2 steps

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Big data: are we making a big mistake?

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Chances to work in data science/machine learning with my...

Hi everyone, I know, this is not the first post in this direction, but so far I have only seen posts by people with computer science backgrounds and I think my situation is a little different. I am a...

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Optimizing memory usage of scikit-learn models using succinct Tries

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Maryland moving to replace current bail system to one based on logistic...

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Apache Mahout, Hadoop’s original machine learning project, is moving on from...

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2014 03 11 Yoshua Bengio - Deep Learning of Generative Models

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8th NYAS Machine Learning Symposium 2014

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A growing IPython notebook about Sequential Selection Algorithms

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Google trains neural network in high-level visual feature recognition using...

This is the abstract, link to full PDF at the bottom of the page. submitted by TomBluefeather [link][4 comments]

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I tried a variety of incrementally different neural network training...

I thought this might be helpful to some people. Maybe some others can comment on why certain techniques converge and others fail to do so (in particular, networks with ReLU units).First, the data: I'm...

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Machine Learning and Law - New Article

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Big data: are we making a big mistake? - FT.com

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An AI that mimics our neocortex is taking on the neural networks

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How much math do you recommend to learn before starting learning machine...

I'm currently a student in computational linguistics, where we have scratched the surface of machine learning, learning how to implement and apply simple neural networks and decision trees. I find the...

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Fast and memory efficient Naive Bayes library for Python

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Mining Association Rules With R And Postgres

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