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Implementation of Developmental Learning MOOC - Starting October 2014.

submitted by alexgmcm [link][4 comments]

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As a CS master's student with solid ML & data science foundation, what is the...

Note: Just to be up front, I'm very well-read on data science and getting into the field, so I'm not looking for generic "try this" suggestions, but am really after recommendations specific to me and...

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Using scikit-learn Pipelines and FeatureUnions

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Machine Learning Theory: An Introductory Primer

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Open-Source Recommendation API

submitted by LForLambda [link][comment]

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Skype Group

Anyone interested in an 'active' Machine Learning Skype group? PM me! submitted by no_porner [link][comment]

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how cross validation help to gain a better model?

if I understand it right, this is the process of cross validation. take 5-fold cv for example,1) split dataset into 5 parts.2) train a model using training data composed of 4 parts and test on the one...

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Loại xe nước mía nào phù hợp nhất cho kinh doanh | Máy ép mía Việt Thống

submitted by quynhtran116 [link][comment]

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Resources for learning about ensemble learning?

I'd like to learn more about ensemble methods. What resources do you recommend? I'd prefer something with some hands-on examples in R or Python. submitted by rovingr [link][9 comments]

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Pretraining deep nets out of fasion?

I feel that recently, pretraining deep neural networks is not a common practice anymore. Is this a wrong observation?Is it because dropout provides the needed regularization and rectified linear units...

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So you wanna try Deep Learning?

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The first completely reddit-based MOOC (x-posted in /r/robotics)

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categorizing labels using k-means clustering for a SVM model

Hi,I have data from two types (classes) of networks: net1, net2. Each network has 100 data instances. Each instance has twenty features and one output label.My aims are two-fold: build a classification...

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Basic introduction to Theano - making an Autoencoder

I recently decided to teach myself about theano. I thought that it might be useful for people trying to do the same to read about my experience with it:...

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.NET Rocks podcast on Machine Learning with Seth Juarez

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Motivating applications for weakly supervised learning

Hi all,Currently I am in process of writing my PhD proposal. I plan to work on weakly supervised methods for a big data. So far I extensively studied semantic image segmentation problem. Typically, for...

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Need an introduction to RBMs

Many times I've heard about Restricted Boltzmann Machines. Cannot you advice me something to read about them?I'm also interested: how are they commonly used and what are their best-known...

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Feature Learning for Binary Data

I'm trying to do feature learning / dimensionality reduction on a large, sparse binary dataset. I tried RBMs and then Autoencoders but was dissapointed to find their behaviors roughly equivalent. I...

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The future of content consumption, through the eyes of Yahoo Labs —...

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Neuroscientist-designer couple bring the power of vision to devices

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