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Lingodroid Robots Invent New Words for Time by Evan Ackerman

submitted by RichKatz [link] [comment]

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Large-Scale Machine Learning at Twitter

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How big is the largest feedforward neural network ever trained, and what for?...

submitted by 1infiniteloop [link] [15 comments]

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Bayesian Nonparametrics

Can anybody explain to me, in relatively simple terms, what Bayesian nonparametrics is and how it fits into the world of Machine Learning? submitted by rudyl313 [link] [15 comments]

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Would mastering the algorithm's in Andrew Ng's machine learning course on...

I've been going through the course and realized that many of the exercises are lacking depth, so I intend on re-writing most of the algorithms without Octave/Matlab so I can get a genuine understanding...

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The Unreasonable Effectiveness of Data

submitted by blind_swordsman [link] [1 comment]

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Air Handling Unit Manufacturer Door Air-Curtain

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Do Androids Recall Dreams of Electric Sheeps ?

submitted by igorcarron [link] [2 comments]

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How is it that when training these boosted tree algorithms it seems to often...

I've seen this so many times (w/r to classification). Randomly choose a set of test data and while training have a plot of the the validation and test errors (w/r to iteration). The errors diverge...

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Question for those of you whose work has something to do with machine learning

What do you do? What do you like most and least about your job? submitted by llbeanfan [link] [7 comments]

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A simple inference problem, need help

Hi MLers. I have a problem in inference which might be quite easy for you. The problem is that: I have a simple Bayesian network, F -> X -> m, where F gets the binary values (0 or 1), X is normal...

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Big Data, 30,000 Scientists and a Startup

submitted by elemenager [link] [3 comments]

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Nobody ever got fired for using Hadoop on a cluster

submitted by larsyencken [link] [6 comments]

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What are some applications to Physics, Chemistry, Biology?

Hi there, I am interested in ML looking to find something interesting except for robotics (AI/Vision) since I am a little tired of it. What are useful / interesting applications to those fields of...

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Question about visualizing Locally Linear Embedding (or any other...

Over the past couple of weeks I have spent a lot of time reading up on dimensionality reduction papers, ranging from PCA, random projections, LLEs, Isomaps, Conformal eigenmaps, etc. LLEs really struck...

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New Kaggle Contest Announced: predicting which people will like which blog...

submitted by willis77 [link] [1 comment]

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Question on Clustering with unknown clusters.

Hey guys, quick question. I have data that (in frequency) looks like : http://imgur.com/a89Sd Upon visual inspection of the data I used K-Means clustering to separate peaks around A and C. Is there...

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Algorithms for blind source seperation/dimensionality reduction

I am trying to extract a low amplitude signal hidden in a high amplitude signal. (I don't know the true low amplitude signal but wan't to find the "best" approximation. Spectrums of the two signals...

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General question about how to implement predictive models.

Say I have developed a great predictive model in R, and I want to implement it. For my workflow, being able to use that model in Ruby would be great. Has anyone made PMML interpreters for Ruby? What do...

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Reddit, is there anyway I can find an overhead parking lot image dataset?...

I am doing my capstone project next semester and I want to start early. Part of my project to predict the location of vehicles in a parking lot given the image of the parking lot. The problem is that I...

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