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I need some help thinking of a project to do.... and a data set.

I am having a problem thinking up a project. I want to add something using various machine learning algorithms to my portfolio, but I can't think of data to do it on. Could anyone here give me a...

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Self-Study Guide to Machine Learning

submitted by jasonb [link][9 comments]

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Modern Development On Brains, Minds, And Consciousness [Playlist]

This is a trio of videos that shines a light on the modern development on brains, minds, and consciousness. The first in the series, ”Building Brains, Making Minds” introduces some past thoughts on...

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I have a month of winter break to study a topic in preparation for grad...

I'm currently an EE senior who is planning to attend grad school for machine learning. I have a free month of winter break to study a topic of my choice. What would be most helpful for me? I've...

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6 dataset lists

submitted by mllover [link][comment]

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Need some guidance

I preparing to do a project which will requires ML in a neural net which will have some ''input'' being the result of a Sentiement analysis. FYI I have followed Andrew Ng class on coursera and geoffrey...

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Recovering background matrices using principal component pursuit

submitted by shriphani [link][1 comment]

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Bayesian Machine Learning Guide

submitted by mllover [link][1 comment]

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Intelligent Probabilistic Systems: Ryan Adams (Harvard Prof) Interview

submitted by hrb1979 [link][3 comments]

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Machine Learning KickStarter: VMX Project, Computer Vision for Everyone

submitted by compsens [link][6 comments]

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Relative speed of classification problems?

I commonly see two kinds of speed comparison for learning algorithms:Algorithm A1 converges faster than A2 over some broad class of problems.Algorithm A converges faster when the examples V1 have some...

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Is there CRAN a deep learning package for R? I heard about Darch but it's not...

I downloaded darch from elsewhere but I can't seem to install it from my local disk. submitted by duckandcover [link][4 comments]

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Intriguing properties of neural networks

An interesting and pretty light paper about some curious characteristics of neural networks. Big names among the authors.Abstract: Deep neural networks are highly expressive models that have recently...

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Linear classification with nearest neighbors element?

I'm new to machine learning, but I have a fair amount of experience with the Perceptron learning algorithm. It seems to me that one of the main problems with this method is that it picks a random...

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Sparse Autoencoder with the dropout ?

I have a theoretical question.does it make sense to combine Sparse Autoencoder with the dropout technique and maxout? ..when Dropout adds sparsity itself. Is dropout only useful for a big system? or ca...

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Python implementation of Sparse Autoencoder

submitted by siddharth950 [link][comment]

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Provable Algorithms for Machine Learning Problems

submitted by hrb1979 [link][comment]

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I need a name for a data analytics club.

I am founding a data analytics club in my univ and I need a name. Can any of you help? submitted by bluewolf4 [link][13 comments]

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Better/correct term for "causal modeling"?

I have been reading "Doing Data Science" by O'Neil and Schutt (and, by the way, I think it is very good). One section describes a process for evaluating the predictive power of a model by replaying a...

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Sparse Autoencoder + dropout ?

I have solved UFLDL "Exercise: Sparse Autoencoders", but have trouble adding G. Hinton's Dropout technique + the maxout activation function. Somebody who can help me?Task:...

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