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Extreme Learning Machines and optimizing hyperparams with hyperopt.
submitted by qkdhfjdjdhd [link][comment]
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Clustering documents and gaussian data with Dirichlet Process Mixture Models
submitted by datumbox [link][comment]
View ArticleWhat are algorithms/approaches for smart partitioning of data?
I am trying to solve a binning (optimization) problem. Without going into many specifics, I have created an image which explains my situation. I don't think k-means clustering is really what I want,...
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Semantic Similarity Metrics: Jaccard vs Dice vs Tversky vs Cosine [OC]
submitted by michaelmalak [link][3 comments]
View ArticleGood Approximate Bayesian Parameter Estimation Tutorials / Examples? [X-Post...
(after receiving no answers from /r/statistics, I decided to post here, where my question may be more relevant)I'm on a personal quest to write an implementation of Gibbs-sampled Latent Dirichlet...
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Discovery of Nature's Transistor Inspires General-purpose Neural Processor
submitted by NeuroCode1 [link][2 comments]
View ArticleGeneralized Additive Neural Networks
So I'm working on a research problem.And I need to learn about something called "Generalized Additive Neural Networks" and apply them on data sets.Now since there are hardly any tutorials available(and...
View ArticleAre the data dimensions independent after applying PCA to the data? If yes, why?
submitted by velosheep [link][6 comments]
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Big Data Proving to Be A Real Challenge for Data Scientists
submitted by Fdot12 [link][comment]
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IBM's Chef Watson: Using Data to Delight Your Tastebuds
submitted by Fdot12 [link][4 comments]
View ArticleL1 penalty on the activation values?
Glorot presents in his paper ( Deep Sparse Rectifier Neural Networks ) his idea to penalize activation values with L1 norm in order to to use the relu function for an autoencoder.Does anybody know how...
View ArticleNeural Net Rorschach Test
If anyone happens to have a trained image-recognition net laying around, it might be fun to see what the top classification categories are for the Rorschach ink blot test...
View ArticleGood Machine Learning methods for mix of discrete (categorical) and...
What are the best methods for dealing with a combination of these features, for both regression and classification tasks? submitted by jamesmcm [link][3 comments]
View ArticlePlease recommend some good books on Genetic Algorithms.
This question was asked three years ago and there's nothing really for it in the FAQ, so I think it is time for an update, especially considering how much this subreddit has grown. For reference, the...
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Why becoming a data scientist is NOT actually easier than you think
submitted by clarkest [link][5 comments]
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A collection of useful, freely available datasets for machine learning...
submitted by rasbt [link][8 comments]
View ArticleDropout during pre-training?
I know of the possibility of using the dropout technique in combination with the pre-training. However, is there anybody who has used it or knows about using dropout during pre-training of an...
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How Hackathons Paved the Way for a New Machine Learning Platform
submitted by digbata [link][comment]
View ArticleCan you post some machine learning projects that have source code included?
I'm trying to learn machine learning by myself and even though I'm beginning to understand the theory, I am very weak in actual programming. I want to have a look at source codes of other projects and...
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