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PyStruct 0.1 released! Structured prediction and learning in Python.

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Testing an autoencoder application

Hello,I'm in the middle of modifying some neural network code to build Stacked Autoencoders (SAEs), and I'm trying to put together some unit tests. I'm hoping some people can help me by verifying some...

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Learning Representations: Yann LeCun's Challenge to the Learning Theory...

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Andrew Moore's slides on Bayesian classifiers — the most accessible (yet...

submitted by advait [link][5 comments]

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ML in capacity management

I need to predict resource utilisation of grid (1000+ servers) using history information about tasks and grid utilisation while it was running. It's not clear for me - how to use ML algos to get...

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A connection between regular expressions and machine learning?

Machine learning is the task of finding a concise set of rules to generalize some behavior in data. I've long wondered if one could create a learning algorithm based on regular expressions, which are...

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Google scientist Jeff Dean on how neural networks are improving everything...

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Brains and Machine Intelligence, A Long Time Coming

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Reddit, here is the startings of the book that was asked of me. There is much...

submitted by Badoosker [link][5 comments]

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How can I (a CompSci grad student) self-teach statistics?

As someone coming from a Computer Science background, how do I get up to speed on statistics beyond basic stats and probability? I mean, I have a vague recollection of linear regression and hypothesis...

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Understanding Q-learning in Neural networks

Hey all, I've been struggling to learn how to apply Q-learning to ANN's. I understand that they work mostly by using MLP feed forward neural nets using gradient descent back propagation. My problem is...

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Andrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learning

submitted by Slartibartfastibast [link][16 comments]

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Where are some top-notch universities for undergraduate education in machine...

As a high school student, I have two career goals: a professor of computer science (or mathematics) in statistics or machine learning, or a engineer building upon or starting projects (i.e. the Google...

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All Machine Learning Platforms are Terrible (but some less so)

submitted by Rickasaurus [link][25 comments]

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Any UCSD DM/ML Certificate students or grads?

Has anyone completed/ enrolled in the UCSD Data Mining certificate program? Am looking for some 3rd party feedback before I discuss it with some of my coworkers and my boss.Does the online set-up work...

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word2vec - Google research tool for computing vector representations of words.

submitted by rrenaud [link][11 comments]

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The MultiSkill Tennis Model: Estimating player skills on serve and return...

To be presented at the Machine Learning Summer School in Tübingen (Germany), August 2013.The MultiSkill Tennis Model: Estimating player skills on serve and return with dynamic Bayesian networks...

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List of 30+ summarizer APIs, libraries, and software

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Question: which techniques are preferred or popular in place recognition tasks?

I'm interested in building an autonomous mobile robot and I want it to recognize visited places. At this point I have found the vocabulary search tree and FAB-MAP but I don't know if those are widely...

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Random Forest: Per prediction confidence

submitted by hirak99 [link][6 comments]

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