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I summarised my experiences with learning a Partially Observable Markov...

submitted by danielMe [link] [2 comments]

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Divvy - unsupervised learning data exploration tool (OS/X)

submitted by b0b0b0b [link] [8 comments]

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Is there a rule of thumb for how many layers should be in a neural net? What...

I have a dataset with one factor response and about 12 inputs, some factors. I've been using R's nnet to try and create a nn and have the two questions listed in the title. Thanks for any help....

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The wake-sleep algorithm for unsupervised neural networks [PDF]

submitted by kubrick-crazy-stare [link] [3 comments]

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Is there a machine learning algorithm that does what I describe? (See text)

While reading a textbook on data mining, I had an idea for an algorithm: it'd work like KNN, except that instead of averaging the 'K' nearest neighbors to estimate the response variable, all neighbors...

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Well taught and extensive machine learning video series in a format a bit...

submitted by mycatharsis [link] [4 comments]

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Suggestions for Quickly Coming Up to Speed in Math for Machine Learning

Hi r/MachineLearning, I know there's lots of resources about what to learn, and they are really great. If anything I have an embarrassment of riches and I am looking to prioritize. The background is...

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What's the difference between robust and generalized linear regression?

If there are real differences, could anyone explain the difference(s) in how they're calculated, in laymen's terms? submitted by randombozo [link] [3 comments]

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Is anybody going to the ICMLA conference this year?

submitted by anthonyt [link] [3 comments]

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Is it possible/worthwhile to implement batch learning for Kohonen networks?

The learning algorithm I'm familiar with adjust the network in response to a single training example at a time. I can think of a couple ways off the top of my head to implement batch learning, but I...

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Would anyone who is well versed in machine learning (and related areas) be...

I don't have a CS or math background, so my understanding of these concepts is relatively limited. I'm working on an idea for a recommendation website/service, and I'm trying to figure out first if...

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Sample Search Data Needed

I'm working on a personal project to use GA to enhance the configuration settings for Apache Solr, but the problem is that I don't have any test data to work with. Does anyone know where I could get...

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Ask r/ML: Why isn't R used often for game AI?

I'm an undergraduate student, learning R at school, and I've been lately exploring use cases for R, and taking a look at several of the packages on CRAN. I've noticed that there's a lot of data...

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Tool detects patterns hidden in vast data sets | Broad Institute of MIT and...

submitted by jdw25 [link] [10 comments]

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Computerized pathology

submitted by Howardula [link] [5 comments]

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Anyone know of an online course with video lectures & homework (and sol'ns)...

I work on time-series analysis (specifically fMRI) and it seems like the appropriate subject to teach myself. If you guys have any other suggestions on relevant topics to study, please feel free to add...

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Show r/ML: Classifying New Posts into Subreddits

Hi r/ML - I just finished a class in Applied Machine Learning, for which I was required to implement an open-ended project that would use some of the things taught to us during the quarter. Inspired by...

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This picture is on page v of Christopher Bishop's "Pattern Recognition and...

submitted by MasCapital [link] [comment]

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This website aims to find out if it is possible to predict hits in the UK...

submitted by urish [link] [3 comments]

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How important is it to reach a local minimum during training?

My minimization routine takes a very long time. Specifically, if I allow it to run until it finds a local minimum to within machine precision, it can require thousands of iterations. (Not surprisingly,...

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