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Can someone provide an intuitive explanation of Heckman correction?

I'm aware of the Wikipedia article, but it is unnecessary dependent on economics jargon (eg. the explanation assumes that you know what the "determinants of wage offers" are). Can anyone provide a more...

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ML interview questions

What questions would you ask a candidate, for a job that required applying machine learning, to test their skills? submitted by amair [link] [27 comments]

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Introduction to Matrix Factorization Collaborative Filtering

submitted by mralexlin [link] [5 comments]

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Genetic Algorithm for generating "music"?

I was inspired by this video series: Experimental One Line Music which was posted on r/programming a little bit ago. With a cursory introduction to genetic algorithms, I thought that it would be...

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The perils of treating a model’s predictions as actual probabilities (with an...

submitted by sanity [link] [11 comments]

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Conditional Expectation what is this Joint Probability?

I'm trying to compute (or at least upper and lower bound) the conditional expectation of E[X | X >= x0] where X is distributed standard normally with mean = 0 and std = 1 and x0 is some initial...

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Interesting application of the classification problem

submitted by linuxlass [link] [comment]

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What is the use of manifold learning?

Sorry for the provokative title, but we were discussing manifold learning at work, and I can't quite work out when you'd use it, and why. Given the difficulties standard manifold learning techniques...

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Genetic Algorithm for generating "music" - Followup

I posted about a week ago asking for advice on creating a genetic algorithm. I wanted to thank those who replied, and share the results of my coding. The code is currently here: GEN-OLM Many people...

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Is a PhD worth it in machine learning?

I'm in a graduate program in statistics right now, and have dabbled in machine learning and data mining for a while. I'm currently getting my master's, and I'm trying to decide if it's worth it to get...

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Graduate Level Machine Learning Course

Hello, I'm working with my former university to create a Machine Learning Class for Grad Students in CS. I want to use the power of the collective thinking and expertise to do this. In your opinion,...

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BBC News - Coding wizards offered X Factor style competition

submitted by fishandchips [link] [6 comments]

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A Tutorial on Hidden Markov Models and Selected Applications in Speech...

submitted by roger_ [link] [8 comments]

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Finding a function that transforms one probability into another

So consider the following scenario (this may look like statistics but the motivation is machine learning): The probability of someone clicking on my ad when shown it on a web page is p(click). The...

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The US Patent and Trademark Office is launching a contest to develop new...

submitted by cavedave [link] [7 comments]

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Controlling for Variables in Machine Learning

This may be a a really simple question, but it has me pretty stumped. I want to fit a Classification Tree or maybe SVM on some data to predict income, but my worry is that some of my new variables that...

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16 million features, 16 billion samples

submitted by delinquentme [link] [comment]

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Strategic choices of machine learning architecture for clinical data mining

submitted by jonsca [link] [comment]

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Is it possible to use Etherpad ChangeSet data to understand how people type...

I'm looking for some of MachineLearning's top experts to have some input into a question the University of Chicago and Etherpadians have been asking for some time. Is it possible, using machine...

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Do you think LDA can be used with PCA to get a better topic model?

I am passing a corpus of news through LDA (using Vowpal Wabbit) and the results are nice, but some real world topics like football for example are spread over a number of LDA topics. So I was thinking,...

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