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Bachelors Thesis in Machine Learning

I'm an ML fan. Unfortunately, when I tell people I know ML, I basically mean: 1) I've done a Coursera course and an ML course at uni 2) I've done a project or two on classification/clustering 3) I've...

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Top 2,500 Data Science, Big Data and Analytics Websites

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Python implementation of Neural Tensor Network

submitted by siddharth950 [link][6 comments]

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Help me make this cocktail party algorithm code from coursera's Machine...

From : https://class.coursera.org/ml-005/lecture/4[W,s,v] = svd((repmat(sum(x.*x,1),size(x,1),1).*x)*x') It was mentioned in the lecture that this algorithm requires two sound sources. Where is the two...

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Introduction to Random forest – Simplified

submitted by kunalj101 [link][comment]

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RiVal - an open source toolkit for recommender system evaluation.

submitted by recsys [link][comment]

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Script to download CS109 Data Science lecture videos

Just thought I'd post my repo here for those that are interested in downloading the actual lecture videos for Harvard's CS109 Data Science course. Those videos are found here but there's no download...

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ROMs for DeepMind Atari paper?

Hi,Does anyone know where to find the ROMs for the DeepMind paper on the Arcade Learning Environment?I'm particularly interested in pong.bin - but I can't find it anywhere so far. submitted by jamesmcm...

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Getting Started with Deep Learning and Python

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ML/Regression based numerical function approximation for lowering...

I am looking into utilizing a ML regression technique to approximate a very computationally expensive, but known, function for purposes of improving processing rates (is this common?). This function...

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How to use R, H2O, and Domino for a Kaggle competition

submitted by DominoDataLab [link][3 comments]

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Coursera's Machine Learning course starts again today!

submitted by sj90 [link][11 comments]

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Introduction to the inner workings of support vector machines

submitted by copybin [link][2 comments]

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Mutlilayer perceptrons with only 1 hidden layer?

Are multiplayer perceptrons with a single hidden layer used in industry anywhere today? submitted by AshHershaft [link][8 comments]

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Is there a word for using something like an autoencoder but to learn the...

So basically it'd be like an autoencoder but the desired output is not the input, but rather another distribution of the input data.So for problems of non-stationary data sources where the...

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Choosing a Recommender Model

submitted by pacmanisfun [link][comment]

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problems with SVM's over 4 classes

I have a data set with 6 classes. Any subset of 4 classes can be predicted with SVM's, and any pairwise comparison of classes is easily resolved. Yet when I try to use SVM's to discern between 5+...

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Software recommendation for 1 v 1 round robin

I am trying to do 1 vs 1 round robin multiclass classification - but using different parameters (and selected attributes) for each pairwise classifier. What is some good software to do this en mass?...

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[Discussion]Finding correlations on a complex datasets with WEKA

I had been learning machine learn since last week so I am quite fairly new to the data mining/machine learning field. I downloaded WEKA yesterday and gone through two classes of WekaMOOC but still...

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Multicore LDA in Python: from over-night to over-lunch

submitted by piskvorky [link][2 comments]

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