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Document Visualization with JS Divergence Matrix and Multi Dimensional Scaling

submitted by bugra [link][comment]

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Is there a simple way to integrate a Gaussian process?

So that one could obtain an integral with appropriate uncertainty bounds from the underlying Gaussian process. submitted by jamesmcm [link][2 comments]

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Lasso and ADMM

Anybody read "See All by Looking at A Few: Sparse Modeling for Finding Representative Objects" by Ehsan Elhamifar? Do you understand how he implemented Eq (20) by using ADMM? It seems to me that he...

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How Statisticians Could Help Find That Missing Plane [x-post /r/Statistics]

submitted by meandtree [link][3 comments]

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Self Adaptive Mutation Rate For Genetic Algorithms

I am in the process of designing a GA for a data mining problem I have been given as coursework. I've been reading that implementing self adaption using Gaussian distribution as opposed to a static...

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Free sentiment analysis API with support for batch processing

submitted by v1v3kn [link][comment]

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Differential Equations in Data Science

submitted by turnersr [link][1 comment]

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Interview with Yann LeCun, Deep Learning Expert, Director of Facebook AI Lab

submitted by rrenaud [link][1 comment]

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Insightful Neural Network lectures that are a perfect next step to Andrew...

submitted by slyrp [link][3 comments]

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Overview of the field?

Hello. Where can I find a brief overview of the field, including its branches, the problem they solve and how? submitted by SrPeixinho [link][2 comments]

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experiment in using a DSL (gherkin) to encode knowledge for a home network...

submitted by meekprize [link][comment]

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Wise.io Leverages RESTful APIs to Deliver Machine Learning Applications

submitted by NotEltonJohn [link][comment]

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Differential Equations in Data Science

submitted by jisaacso [link][comment]

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Could someone make a Chrome extension that clustered tabs by topic and made...

Managing tabs manually is pretty tedious when I have 20+ open. Does anyone have the know-how and determination to whip up such a thing?When I browse, certain tabs have a lot of similar text in common....

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What are the practical difference between an RBM and autoencoder?

I've been working with stacked autoencoders for unsupervised training and using it for some (semi)supervised classification. As I read more, I wonder how I can justify using stacked autoencoders over...

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Live demo of "Krizhevsky convolutional neural network architecture for object...

submitted by idliketobeapython [link][1 comment]

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Near human level of face recognition accuracy achieved

submitted by zestinc [link][10 comments]

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IBM’s Watson to do genome research on cancer treatment

submitted by aryastarklives [link][comment]

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Need Book recommendation: Shalizi book (Advanced Data Analysis from an...

Hi, I understand there have been many threads on such topics before. However I needed an opinion on comparing 2 books. Basically, I am looking for a ML book with a focus on the statistics side of...

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How does regularization affect dropout while training autoencoders?

I was reading this paper on dropout:http://arxiv.org/pdf/1207.0580v1.pdf...And after a rather straightforward explanation of what dropout is and what it is supposed to do, they use the third paragraph...

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