The performance gains from switching R's linear algebra libraries
submitted by Foxtr0t [link][5 comments]
View ArticleA neural network learns to play video games by watching
Playing Atari with Deep Reinforcement LearningAbstract: We present the first deep learning model to successfully learn control policies directly from high-dimensional sensory input using reinforcement...
View ArticleQuick start on analyzing server logs for patterns
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View ArticleMining frequent itemsets in textual documents (storage issues)
Hi guys,I am working on a research project that aims to scan a large number of documents and identify itemsets in the form of word sequences. Another team is working in the same task using Markov...
View ArticleCanny edge detection
Hey everyone,I am writing a Canny edge detection algorithm. I'm testing it on simple shapes right now, such as circles and squares. It does great at detecting lines that are close to horizontal and...
View ArticleReLU for Autoencoder?
Is it possible to use the ReLU activation function with an Autoencoder? how? submitted by rishok [link][5 comments]
View ArticleStatistics for Use of Machine Learning in Industry?
I'm trying to find out what the biggest uses of machine learning are in industry, but am having trouble finding any hard stats. I guess "use in industry" may be a little hard to quantify, so I tried...
View ArticleAnybody used Mahout with Cloudera's CDH? If so, how'd she handle? Would...
I'm putting together a big data mining project and it's time to break out the big guns instead of just using R. Cloudera's CDH looks pretty good because the little pieces of the Hadoop pie (Pig, Oozie,...
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New open-source Machine Learning API clients in Ruby and Node.js
submitted by datumbox [link][comment]
View ArticlePredictive neuron, extension of LSTM
Ok, so this is just a basic idea, but it seems easy to implement (I just haven't found appropriate data to train it with), but the idea is to have something like an LSTM node...
View ArticleHelp with predicting avalanche risk?
My personal project is to build a system that forecasts the risk of avalanches in the mountains given weather data. So, input is a time series of NOAA weather (precipitation, wind, temperature) data....
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A perceptron learning algorithm in R (with visualizations!)
submitted by billderose [link][2 comments]
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Recent Developments in Deep Neural Networks (Geoff Hinton)
submitted by federationoffear [link][2 comments]
View ArticleHow Machine Learning Can Transform Online Dating: Kang Zhao Interview
submitted by hrb1979 [link][5 comments]
View ArticleUsing a SVM in Hadoop?
I've been working on analyzing medical data using Hadoop. I'd like to use a SVM to help me with some of the analysis, but the SVM features aren't fully baked in Mahout. I could roll my own, but that...
View ArticleAny thoughts on modelling diabetes glucose levels?
I'm curious how this problem might be approached. In a nutshell, and simplifying things a bit: for diabetics glucose levels have to be controlled manually. Eating carbohydrate / sugar raises blood...
View ArticleAlgorithms for joint classification and extraction?
Does anyone know what the state-of-the-art is for composite ML problems that involve both classification and labeling sub-tasks? For instance in computer vision, classifying images into one of several...
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ChimpDB: a distributed database with built-in machine learning capabilities
submitted by mhausenblas [link][4 comments]
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Python implementation of Softmax Regression
submitted by siddharth950 [link][4 comments]
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