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What are the most exciting potential applications of Machine Learning, Deep...

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Improving Sparse Data Support in scikit-learn

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Basics of Machine Learning

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The Flaw Lurking In Every Deep Neural Net

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Realtime predictive analytics using scikit-learn & RabbitMQ - PyCon 2014

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Trying to improve on a backpropagation network by implementing momentum.

I asked a question recently regarding the right way to code a backpropagation network with three input units, four hidden units, and one output unit (all units logistic).I got this working and then...

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non parametric mixture model

I have a question about clusters that I am contemplating to treat with a non parametric mixture approach (I think).The problem is the following:I am working on the explanation of human comportment....

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IBM Branches Out Into Condiments

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Clustering heterogeneous data - a question about relevant methods.

Hi everyone, I've never posted here before but I thought this would be a good place to look for some guidance on a problem we're facing in our research group. Basically, we are looking to perform...

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Google Using Machine Learning to Boost Efficiency in Data Centres

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Overview of Matrix Regularization Techniques

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Current state of the art in named entity recognition (NER)?

Hi,years ago I used to follow the results in the field of Named Entity Recognition (i.e. identifying references to People, Places, Companies, and other proper nouns in documents) but I got pulled...

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Need help to find a tool that i can use to annotate textual data for...

I need a tool to annotate textual data for sentiment analysis.This tool should give the ability to do the followingupload text posts to be annotatedbe able to give a score or just (negative, positive...

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Looking for further reading on hierarchical clustering

Hi everyone,I'm working on a presentation on hierarchical clustering for my computer vision class. Can anybody recommend some reading on this topic? I'm looking to discuss advantages and disadvantages...

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Neural Network Too Slow

Hi guys, I wrote a recurrent network using long short-term memory cells and a mixture density output layer. There's 3 input units, 900 LSTM cells, and 121 output nodes. So, there's a lot of...

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Measuring Performance when Scaling the Number of Classes

I've run a bunch of text classification experiments. In these experiments I varied the number of classes involved. I've grouped them into experiments of 2, 4, and 8 classes.I'm wondering what the best...

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How to optimise multi-layer neural network architecture using the genetic...

Can someone please provide me with a very brief summary of how to optimise multi-layer feedforward neural network architecture using the genetic algorithm? i.e, optimise the number of neurons and...

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Google Research, MS Research, Pandora & Databricks are presenting at The...

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Training Highly Multiclass Classifiers - by {mayagupta, bengio, jweston}@google

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How to Tell Someone’s Age When All You Know Is Her Name

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