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Kaggle introduces a new deep learning tutorial for sentiment analysis

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How a Math Genius Hacked OkCupid to Find True Love | WIRED

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[Question] How can I combine multiple neural networks into one?

Hi!I'm implementing Cooperative Q-Learning with multiple agents as described by Ahmadabadi. However, there is a communication overhead (agents communicate over a network and trying to be energy...

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Microsoft working with research community to advance sign language...

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The long foggy race to General-Purpose Superintelligence-An explosion will...

short article on the future of AI, deep learning and funding- do let me know your thoughts...

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Is Master in Applied Statistics a good program to get myself into Machine...

Hi, I've tried to get into the data science field but unfortunately there is only senior roles or intern roles. My math is a bit rusty too. So I'm thinking of going back to get my master.I was curious...

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word2vec is an implicit shifted PMI matrix factorization

submitted by fasterthanlite [link][1 comment]

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Label Propagation experience

Does anyone have experience/tips they'd be willing to share on label propagation?In particular I'm interested if you've used it successfully for regression problems particularly over large-ish graphs....

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Greedy BFS multi-variate optimization?

I'm trying to come up with a fast way to optimize a function which takes a large number of variables, each of which can take a finite set of values. I have an idea which seems like, if polished, would...

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The Current State of Machine Intellignece

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Methods for training convolutional neural networks on varying size test images?

It seems like all the literature I come across has uniform sizes for the training images. Are there any techniques for training a CNN on varying size input images? submitted by Vystril [link][10 comments]

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Can anyone suggest a Java ML lib that supports Logistic Regression + L2 reg?

So far I've been playing with LAML which has been really nice as far as efficiency goes but doesn't seem to support any sort of regularization.Worst case I can just export my data and use a different...

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ML in Bing brings the world’s knowledge into your Office docs - take...

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Creating a universal standard/schema for text resources rather than using...

Could we create a standard for text resources (blogs, tutorials, articles...) that could make machine learning as easy as requesting the machine resource from a server rather than getting the human...

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Data Elixir, Issue 13 - machine learning, data wrangling, D3, gift list for...

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[github] Logistic Matrix Factorization for Implicit Feedback Data

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Data Scientists Alessandro Gagliardi and Amit Kapoor talk about their...

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ML Problem: "Will this compile?"

Given ample training data of compiling and non-compiling strings of source code in a single language (consider the language to be fully unknown, albeit consistent), construct a self configuring...

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Can anyone give some more insight into this quote?

http://youtu.be/LZnAFO5gkOQ?t=37m12sSpecifically the the stuff he says about it being well understood that there are high dimensional functions which cannot be approximated, and about neural nets...

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Link to Futurology ->AMA I'm Jeremy Howard, Enlitic CEO, Kaggle Past...

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