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Regression problems with extremely right skewed targets

Hey /r/MachineLearning ,I'm starting a project soon that will require some supervised machine learning. the target variable is severely right skewed. The target looks like it almost follows a Poisson...

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Machine Learning With Statistical And Causal Methods

submitted by alexeyr [link][comment]

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How to use AdaBoost for more "complex" classifications?

In this article, Chris McKinlay says he used AdaBoost to choose the proper "importances" of questions he answered on okcupid.If you haven't read and don't want to read the article, or are unfamiliar...

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Regrinding and fine grinding equipment-tower mill

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64 new external resources and articles about machine learning, data science,...

http://www.datascienceworld.com/profiles/blogs/55-new-external-resources-and-articles-about-data-science-big submitted by vincentg64 [link][1 comment]

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Has anyone worked on a machine learning project and towards the end realised...

For example you realised that your choice of classifier was not the best , you could have chosen a better way for dimensionality reduction. Just wanted to hear some stories.I'm looking to start a...

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Videos from Convex Optimization @CMU

submitted by matiskay [link][5 comments]

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Algebraic approach to classification?

So I was reading this interview with a Kaggle winner. This chap is a Russian professor who used an approach based on what he calls "the algebraic approach to classification". My algorithm consisted of...

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FTRL proximal questions (theory and implementation)

Hi, I've been trying to implement FTRL proximal for the avuzu competition(ads click rate prediction) on Kaggle. However I'm a begginer in ML and I'm unsure about some aspects of this algorithm.  I've...

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Adaboost on svm

Adaboost is recommened to use with weak classifiers. I also heard, that it is not good idea to use it with SVM. Looking on algo i cant guess why it is bad idea. Can anyone explain? submitted by...

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#Future #MIT #CarnegieMellon #MachineLearning #AI #2015 Eric Miley, #MBA "On...

submitted by ericmileymba [link][1 comment]

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Thesis: Quantum Algorithms for Linear Algebra and Machine Learning; Anupam...

submitted by compsens [link][comment]

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How to cluster text sentences unsupervised?

Hi everyone.I need to take about 200k sentences and cluster them to groups based on text similarity. I don't want to specify a constant number of clusters - I want it to just figure out groups based on...

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A First Kit of Machine Learning Resources

The Machine Learning Salon Kit contains 150 pages of useful websites to start machine learning. It's free from any comment, registration or advertising. MachineLearningSalonKitThe Machine Learning...

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WEKA question on Naive Bayes classifiers

Someone on stackoverflow has the exact same question as me, but no answers:http://stackoverflow.com/questions/22305143/naive-bayes-and-naivebayesmultinomial-accepted-feature-weighting-method submitted...

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"On Machine Learning and the Next Wave of Innovation" - Eric Miley, Carnegie...

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Machine learning-based NBA predictions visualized

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Big Data, Machine Learning, and the Social Sciences: Fairness,...

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Do you need an academic background for machine learning and data science?

If you're a self-taught programmer and avid autodidact, is machine learning or a subset of it (like neural networks) something you could develop expertise in, compared to say mobile programming, or is...

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With wax/foam/water cleaning! Car wash equipment--Self service car wash

submitted by zzaixcarwash [link][comment]

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