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AutoLearning Algorithms

So I'm trying to setup some stuff with opencv for image segmentation and then classification. I was thinking about using a neural net or an SVM for the classification. I already have something going...

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Classifying Images based on whether image contains text or not?

I do have some images and i want to classify images based on whether image contains text or not. I am planning to use Back-propagation but not getting on how the data should be feed. I means...

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How computers can learn better - MIT News

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"Quantum computing is a practical tool for extremely complex predictive...

submitted by Slartibartfastibast [link][5 comments]

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dlib C++ Library v18.2 released. Lots of state-of-the-art Machine Learning...

submitted by davis685 [link][6 comments]

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Machine Learning tutorial: How to create a decision tree in RapidMiner using...

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An interesting data set, and I want your opinion

(Hope this is appropriate for this subreddit) Hey fellow redditors, tl;dr I am asking about a data set for a marketing problem, I am interested in feedback on which models and direction would be the...

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RapidMiner tips and tricks #1 How to use SQL Server named instances with...

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The 80/20 Rule of Analytics every CMO should know

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Clarifying Kaggle's Wiki terms - Creative Commons Attribution-ShareAlike 3.0

(in answer to comments in thread http://www.reddit.com/r/MachineLearning/comments/1ez6cq/its_been_just_over_a_year_since_it_was_launched/ querying the Kaggle wiki content terms)A downside of writing...

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Doing Bayesian Data Analysis with R (valuable for ML?)

I have 3-4 months this summer to do my own thing. And this book looks great to work through. http://www.amazon.com/Doing-Bayesian-Data-Analysis-Tutorial/dp/0123814855What throws me off though is that a...

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ColorBot: Classifies Images as Red Green Blue, Interactive Machine Learning

submitted by primaryobjects [link][1 comment]

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Undergrad seeking advice..

Hi, I'm a rising college sophomore majoring in Math-CS at a state school on the east coast (top 20 for CS based on grad rankings). I've had the fortunate opportunity to work with a professor these past...

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DBN / choosing network structure

I've read a few papers on deep learning, rbms, etc - and the concepts / math / implementation all make sense to me. However, when reading papers around any example application / implementation I always...

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Recent approaches to non-linear dimensionality reduction.

I am learning about non-linear dimensionality reduction (so far only older stuff like isomap and LLE). And I had a few questions:Most implemented packages for isomap that I found (in R) simply mapped...

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Language and Cultural Evolution As Supervised Learning of Deep Architectures...

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New reinforcement algorithm that outperforms predecessors, with toolkit

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Machine Learning in practice: Building a model of subject understanding for...

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Is this good news or bad news for aspiring Data Scientists?

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Input on the Design a Linear Algebra Library

I'm in the early stages of developing a general linear algebra library, primarily to learn a new language but I expect to use/share it. The language confers many advantages over...

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