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Modelling the dynamics of many independent time series?

Hello, I am looking at an unusual problem for a client: There are ~20 CO sensors in the factory, each one generates a number every 15 minutes. Each sensor puts out a time series with 96 steps every...

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Artificial Intelligence Is Doomed if We Don't Control Our Data

submitted by biomimic [link][2 comments]

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I'm looking for a relatively simple and large dataset for classification

Hey everyone,I'm looking for something a bit like the Iris flower data set (relatively few numerical measurements, ideally 3--5), but with a much higher row count (100K min, preferably 1 million). Does...

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Top Cities and Other Demographics for Data Scientists

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Vector Space API v0.1 based on in silico Cognitive Biomimicry

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Something About Cats, Dogs, Machine and Deep Learning

submitted by little__big [link][comment]

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Deep learning - The "Average" Facial Representation

Hi all,Question: I am doing some research on learning the "average" representation of a person's face from various facial images from the subjects.I am thinking of maybe doing it like this:1) Get an...

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Higgs Boson Machine Learning Challenge won with a bag of 70 neural networks

submitted by benanne [link][32 comments]

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Best companies to apply for machine learning internships?

Does anyone have any recommendations on where/how to apply to them? Im a junior in computer science and I'd love to apply to any company doing cool stuff in ml, but I really don't know where to start...

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Dirichlet Process Mixtures and label switching

I'm reading a paper by Kurihara et al. "Collapsed Variational Dirichlet Process Mixture Models", 2007. The paper compares different representation of the DP prior and VB inference for these approaches....

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Picking step size for gradient descent

I'm writing a least-squares linear regression program. (as a learning exercise) It mostly works, but I can't figure out how to select the initial step size when doing the gradient descent. What are...

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WalnutiQ: Biologically inspired machine learning in Java

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Visualizing (Gradient) Optimization Techniques (Annealing, Stochastic...

submitted by robertsdionne [link][17 comments]

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Computer, Let Me Know What's Interesting About This Article

submitted by wheeler1432 [link][1 comment]

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Are projects such as Azure ML going to make data science less lucrative?

I don't have a lot of background in machine learning so I can't properly gauge how much Azure ML lowers barriers to entry and similar projects may further lower barriers to entry in the future, so I...

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Microsoft Machine Learning Hackathon 2014 - Report

submitted by vkhuc [link][2 comments]

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GoogLeNet slides from ECCV 2014 workshop

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Estimating linear functions using SGD and a square loss function

I have a true underlying model of ax+by+some error=z a,b,x,y,z are real numbers. (x and y are constrained to be between 0 and 1000) My data set is a set of ([x,y], z). x an y are my features, z is my...

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1 Determining Parameter Ranges for Scikit-learn's GridSearchCV

I asked this yesterday in /r/learnpython but with no responses so I am trying again here.I am playing with Scikit-learn for the first time. I have a little bit of machine learning experience but am in...

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Using data science to build better products

submitted by hernamesbarbara [link][comment]

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