Need advice on finding good regularization parameter for ridge...
I am performing kernel ridge regression on some really large datasets on my home computer which already is quite time consuming.. basically I have to regularize the solution by some parameter...
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Hi everyone; I would like to share with you my free online course titled...
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Bengio on the difficulties that one faces when starting working on Deep Learning
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View ArticleWhat all algorithms can be experimented to calculate the topic relevancy...
Taking into account that I have an exhaustive list of topics and I need to figure out the relevance of topics to millions of news articles, what all approaches can be experimented. At the end of the...
View ArticleMachine learning of generalized mathematical structures?
To be fair, a machine learning algorithm often is built from generalized mathematical structures, but bear with me.A lot of effort over the past decade has gone into image processing and pattern...
View ArticleNew Q&A Site for Machine Learning Needs Your Support!
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View Articleare Genetic Algorithms anymore than an academic exercise?
I come across a lot of criticism of genetic algorithms (typically in the direction of overfitting). I'm just wondering what the /r/ML folks think of GAs. Are they useful in the real world? Do they look...
View ArticleResources to become a Machine Learning Ninja
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View ArticleHadoop book recommendations?
Hi all, I looked at book recommendations link on the side bar and couldn't find any suggestions for books on Hadoop. I have recently started learning about the map-reduce frame work and configured...
View ArticleLIBSVM question
I'm using the LIBSVM package for training the SVM model. I'm using DAG for classification as mentioned here. Details of which part of the code to be replaced are given here. During testing, I've set of...
View ArticleQuick Question Logistic Regression
I have a training set made up of 20k examples. Where each example is a 2k dim. vector that consists of mostly 0s with a few 1s. My neural net outputs a 2k dim vector but the results are not binary. Can...
View ArticleDeep Learning With Commodity Off-The-Shelf High Performance Computing [pdf]
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View ArticleGetting Started Question (Language)
I am just breaking ground on learning machine learning (Stanford course on youtube). My background is in applied math and I am familiar with Maple, SAS, and SQL. I just installed R and am willing to...
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Question about Sequential Covering Algo
I am training a rule based algo (PRISM or CN.2) with n classes (y_1,y_2,..,y_n). All rules in the training RuleSet are in DFN form, like IF t_1 OR t_2 OR ... t_m THEN y_i (terms) , where t_1 == lit_1...
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pyhsmm - Python Sampling Inference for Bayesian HSMMs and HMMs
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