Introducing QuickML: A machine learning library for Java, including random...
submitted by sanity [link][6 comments]
View ArticleWhat should I know before taking on word2vec?
I made my bachelor's thesis on distributional semantic models, more specifically a common weighted count-based model. I have heard a lot of hype about Mikolov's word2vec model, and started reading up...
View ArticleMetacademy - A resource for learning ML
Metacademy is a great resource which compiles lesson plans on popular machine learning topics. submitted by olaf_nij [link][4 comments]
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This Wednesday: Free webcast about Data Science at the Command Line [x-post...
submitted by eroenj [link][1 comment]
View ArticleNeural Net for Regression
I've used neural nets several times for classification problems, but I haven't heard of them being used for regression. Is it possible, and if so how would you implement it? Would you just have hidden...
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Amateur machine learning
I work in software development. Have been for 10 years. But I have now started understanding machine learning after taking a coursera course. I would don't think I can apply it to my line of work. So I...
View Article(open) linked data in machine learning
Hello guys,I am extremely interested in the concept from Lee, linked data. However, I haven`t seen much research about it in machine learning. Besides that I would like to contribute to this field in...
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NuPIC's Geospatial Encoder - Sparse Distributed Representations from GPS Data
submitted by fergbyrne [link][comment]
View ArticleIs there a term for model parameters that aren't tuning parameters?
We often recognize a distinction between tuning parameters and "normal" model parameters. An example where this is clear is ridge regression, where the ridge penalty is a tuning parameter and the...
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Train an artificial neural network with a constraint solver
submitted by p-col [link][1 comment]
View ArticleSvm only returns one type of category on prediction?
I am working on a bag of words, svm classifcation pipeline, and have two categories, the first with 6000 images and the second with 70. The test set is 30% of my data, and the training is 70%. When I...
View ArticleSparse autoencoder from ufldl
is there any analysis done on the Sparse autoencoder from ufldl e.g on the mnist task submitted by rishok [link][1 comment]
View ArticleK-nearest neighbor question
I'm trying to predict how much insurance an employee will potentially buy based on employees who are already covered, using only the age and salary. On a previous data set, I found that the length of...
View ArticleQuestion: Trying to use linear programming as an alternative to machine...
I've got the following dataset: Features Algorithms ------------ ---------------------- P | | | r | | | o | | | b | | | l | | | e | | | m | | | s | | | There are two matrices, the feature matrix (N x...
View ArticleMachine Learning to Production
I've completed a masters in CS focusing on machine learning. I've learned lots about algorithms at a theoretical level and implementing them in Java/Weka and in Python/Scikit-learn.What I didn't learn...
View ArticleERL - Evolved Reinforcement Learner
Hello!I have been working on and off on a larger machine learning project for the past two months, and I thought I should share it here to get some ideas/criticism. It's called ERL, which stands for...
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Kernel tricks and nonlinear dimensionality reduction via RBF kernel PCA
submitted by rasbt [link][3 comments]
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