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Python code for the book Bandit Algorithms for Website Optimization

submitted by cavedave [link] [1 comment]

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Facebook is hiring - earn an interview by performing well in a Kaggle...

submitted by willis77 [link] [comment]

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Do deep networks require homogeneous data?

I'm very interested in the emerging field of deep learning. One thing I've noticed, though, is that most of the example applications involved homogeneous input data. What I mean is that each feature if...

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Is the log-sum-exp "trick" a valid alternative to scaling when trying to...

submitted by roger_ [link] [4 comments]

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How deep learning on GPUs wins datamining contest without feature engineering

submitted by allegro_con_fuoco [link] [6 comments]

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Question about the likelihood function for a semi-Markov model

Basically I have an observed state sequence and (continuous) transition times, and I'd like to obtain a likelihood function for this data. The semi-Markov model is similar to the normal Markov chain,...

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(Cross post) Gifting Humble Bundles in Exchange for Help on Computational...

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Top 10 algorithms in data mining: outdated, but a good starting point for...

submitted by dtelad11 [link][1 comment]

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Is there anything like eureqa available in open source?

I have seen many programs that do this sort of thing, but nothing as well as eureqa does it.If you don't know: It takes a table of numbers and uses logistic regression to guess the equation(s) that...

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The Grapes of Math

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Inside the Secret World of the Data Crunchers Who Helped Obama Win

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State of Machine Learning in the United States? Are there industry employed...

I'm about to graduate with a PhD in machine learning in the US, and something's been bothering me and raising my curiosity. I am subscribed to a bunch of the ML mailing lists, and these lists are where...

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I'm currently in Linear Algebra, what should I look up that isn't generally...

We're going to get right up to the edge of vector space isomorphisms before the syllabus runs out. I'm finding it very interesting, but we've had to skip a lot of application illustrations for the sake...

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Announcing /r/aiHub ~ aiHub gathers quality and informative reddit...

submitted by locster [link][comment]

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Hi r/machinelearning , any chance with a hand with a Neural Networks problem?

Basically, i'm doing a university course and the backpropogation algorithm has come up. I understand it and how it works, except for the following;In this video;...

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Anything better than pybrain for someone new machine learning?

submitted by chewygumbarsnack [link][4 comments]

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Building Analytical Applications on Hadoop

submitted by agconway [link][1 comment]

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Compiling a list of awesome ML papers

I thought it would be cool to collect a list of some really awesome (maybe even a few "lay person" accesable) research papers on the topic of ML. I wanted to open it up to the /r/MachineLearning...

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Discussion: Google's Scalable Deep Learning + 1000 Genome Project?

Should google be applying their recently devised scalable deep learning approach to freely available human genome data?Some thoughts/links/info...The 1000 genome project has already released data for...

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Are there any ML/NLP works/papers on parsing/solving math word problems?

As the title says, any pointers are much appreciated.I am exploring, where do we stand in terms of ML/NLP efforts, in context of solving (to begin with - parsing) Math Word Problems.We have decent...

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