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Deep Learning vs. AdaBoost vs. Random Forest

submitted by kenhty [link][3 comments]

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How Python became the language of choice for data science

submitted by srkiboy83 [link][46 comments]

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How do feature/variable importance measures work?

I know RF and SVM will provide measures of feature importance but can sometimes be misleading. This is potentially very useful for reporting experimental results in neuroscience. submitted by...

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Risk-Aversion in Multi-armed Bandits: "In many practical problems, maximizing...

submitted by NOT_BRIAN_POSEHN [link][comment]

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Practical limit on matrix size for singular value decomposition (SVD) in R or...

Hi folks,I'm hoping people can give me a ballpark idea of the upper size limits on matrices for SVD in R or MATLAB. I am a newbie to using SVD in analyses, and I don't have a good intuition for what...

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We ranked second on first large scale action recognition challenge@ICCV 2013

submitted by sixmoney [link][6 comments]

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Alternatives to Kaggle

Just wondering if the community knows of any alternatives to Kaggle! No issues with Kaggle but curious what else is out there. submitted by feedtheaimbot [link][1 comment]

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Nice collection of datasets (mostly graph data)

submitted by xamdam [link][comment]

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Video Lectures of Harvard CS109 Data Science Course

submitted by datumbox [link][3 comments]

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Implementation of a multi-class class classfier using logistic regression

Hello,I want to implement a multi-class classifier using logistic regression, but I don't know the steps for doing that.I describe the problem below:I have five data sets as training set in the form of...

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Machine Learning job for Msc.

Hi everyone ! I just got my Master's degree in applied mathematics (optimization and operations research ), and I've been interested in Machine Learning, o more broadly, Data Science for quite some...

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Ideas for a good place (department/lab) for a PostDoc position?

Preference for ML applications to clean tech, system software, remote sensing or medical. Strong reproducible research/open source culture a bonus. Ideas for places to look into? bonus points if you're...

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R clustering and decision tree examples

Hi All - I'm fairly new to R and am playing around with some of the UCI datasets. I'm looking for a couple of R data mining examples. Specifically, I'm looking for a kmeans example in R where k=N (any...

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Is there a type of linear regression in which I can put brackets on the...

Let's say I know a coefficient should be between 1 and 4, so I want to limit its range within those numbers. It's similar to using offsets, only that the coefficients are ranges rather than specific...

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How does an algorithm qualify as sequential?

I'm trying to understand why some algorithms fit the "statistical query model" and some don't. Aka. why some can be parallelized and scaled using tools like Hadoop while others are limited because they...

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Multiclass Naive Bayes with probabilities for y

Hi, I've got to train a classifier where a sample can belong to one of many classes. And the training set output is given as the probability for belonging that sample to each class. Eg: sample#1 :...

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An Introduction to Decision Trees with Julia

submitted by joelthelion [link][comment]

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Machine Learning Tutorial: The Multinomial Logistic Regression (Softmax...

submitted by datumbox [link][6 comments]

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important features/variables in kmeans cluster

I am trying to figure out the best way to determine the most important/dominate variables in a kmeans cluster. I know it's probably somewhat simple but my Googleing isn't taking me anywhere...

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Book-in-progress: Neural Networks and Deep Learning

submitted by chl [link][5 comments]

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