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Question for those familiar with Simon Funk's incremental SVD method...

I'm trying to implement this for a ratings dataset that's similar to Netflix, and I've gotten it to "work", in that the training error is driven toward 0 after each iteration / more features are...

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Trying to solve the extra-credit for the coursera machine learning course...

code is here: https://pastee.org/u878p(full code is here)https://github.com/gdoteof/machine_learning_week1J(Theta) is oscillating between ~0 and 6.2e6The way they have you do the homework you can...

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Don't forget that UW's Introduction to Data Science (Coursera) starts 5/1. An...

submitted by edomo [link][5 comments]

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Is supervised classification a "solved" problem?

Assume we have infinite training data, where each feature has unknown correlations with other features. Have we already perfectly solved the problem of assigning class based on this data?For example,...

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Yann LeCun on Deep Learning and Graphical Models

submitted by rrenaud [link][comment]

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What are your thoughts on "Deep Learning"?

I've read a bit about deep learning, and it seems quite compelling. Basically, we finally figured out how to train the kinds of feedback networks everyone was excited about in the 70s. And surprise,...

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How serious is Andrew Ng's Coursera course?

I have been looking at Andrew Ng's course on coursera. How serious a course is this? It is only 6 weeks, is it a dumbed down version of the course? How does it compare to if I did the real machine...

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Google have this week been granted a very broad patent on using Machine...

My app uses machine learning to predict people you are likely to call, as a way of enhancing the phone dialer.Google's shiny new patent gives them the exclusive right to use machine learning on phones...

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Pulitzer prize given as a result of lengthy data-mining analysis on speeding...

submitted by bwana_singsong [link][1 comment]

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Machine Learning Counterexamples

submitted by HootBack [link][8 comments]

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Need advice: Very small sample

I'm looking for advice. I'm trying to predict the question mark using the following tiny data set.Tag1 Tag2 Tag3 Tag4 Score 1 0 0 0 2000 1 0 0 1 2400 0 1 0 0 3000 0 1 0 1 3600 0 0 1 0 4000 0 0 1 1 ?...

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Alternatives to Bag of Words representation for text documents?

I've seen in literature and practice that most machine learning systems in the text domain use Bag-of-Words representation of data. Is this really the best option? I really think we can come up with...

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Reducing the number of Support Vectors.

I am working in an extremely memory constrained environment, and the number of support vectors my Matlab design is generating is just not something that scales. That led me to move to finding a way to...

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I need a simple experimental task to test my general planning system.

I'm working on a general planning system. It observes a sliding window of world states and it's own past actions. I apply a stacked de-noising auto-encoder to the whole input to decompose it into a few...

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Numenta will open source their core algorithms

submitted by numenta [link][19 comments]

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Predicting with Relevance Vector Machines.

I am trying out this Matlab toolbox for Relevance Vector Machines by Tipping: http://www.miketipping.com/sparsebayes.htmThis has an implementation of Relevance Vector Machines, and generates pretty...

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What could be done with this data?

Hi, I parsed the webpage of the Stock Exchange of our country and mined this data.I really want to build something out of it, some prediction model or any other thing. Problem is I have no clue where...

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Where does one start?

What can I read? What library's and languages do people use? Any people I should follow concerning Machine Learning?Thanks- Complete Noob submitted by gregimba [link][3 comments]

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Does anyone know the name of the type of graphed formed by a multi-layer...

For example: here.And, given a graph of this sort, is there an efficient way to calculate an arborescence for it? submitted by gct [link][7 comments]

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Want to spend next 2-3 months in getting ready (skill and knowledgewise) for...

Hello everyone. I am joining graduate school come Fall. I would be studying NLP and ML. I reduced my commitment from my current job to part time, so that I can focus on skill development prior to...

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