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Help me study for my thesis:"Using Machine Learning to monitor QOS in...

I want to make a thesis named "Using Machine Learning to monitor QOS in wireless networks", but I only had a bit of machine learning in my course, and it consisted of using a trainer in python to...

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Erik Bernhardsson (Spotify) - Implementing a Scalable Music Recommender...

submitted by chocolategirl [link][comment]

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Learning to rank with scikit-learn: the pairwise transform

submitted by rrenaud [link][comment]

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Is there some exercises for practice?

So you can download some data, and descriptions of problems you need to solve. Maybe something like kaggle, but more learning oriented. submitted by dotneter [link][comment]

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Stochastic gradient descent outperforming L-BFGS

I've been hitting my head against this problem for a while now, and I'm about to give up and just use the method which I have that performs. However, I think I also have evidence that something about...

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SVM - Vector Component Weightings

I've very new to SVMs so excuse me if this question is misinformed.Say I wanted to predict the outcome of an event such as "will a given golfer land a drive on the green on his first swing" say for...

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Trouble with derivation

The expected (squared) prediction error isEPE(f) = E(Y - f(X))2Now suppose that f(x) = xT b. The book (EoSL) says that by substituting and differentiating, we end up withb = [E(XXT )]-1 E(XY)How?...

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Straightening Machine

submitted by seoservicesejpr78692 [link][comment]

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Several Questions from Undergrad Looking to Get Into ML field, Any Help...

Hi all,First I want to say this is a little long, so I appreciate those of you who read through this. I am a senior in college who, having just taken an engineering optimization course (some GA’s,...

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I am trying to figure out the difference between supervised and unsupervised...

This may be a stupid question, as I understand it PCA is definitely a form of unsupervised learning that groups, in this case anyway, a selection of texts based on similiarities. My question is, is it...

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Knowledge Representation in Sanskrit and Artificial Intelligence by Rick...

submitted by turnersr [link][8 comments]

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Python for Bayesian networks, which library do you recommend?

What is considered the best python library to learn Bayesian networks for supervised classification? I see that scikit learn has naive Bayesian networks, but I would also like to define the maximum...

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Neural Networks on a Parallella chip

submitted by uavster [link][comment]

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Regression by Successive Orthogonalization

We're talking of linear regression. Consider the following algorithm:Initialize z_0 = x_0 = 1.For j = 1,2,...,p Regress x_j on z_0,z_1,...,z_{j-1} to produce coefficients g_{ij} =...

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Recommender Systems on coursera starts today (3th september)

submitted by ojtwist [link][comment]

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Need help in proceeding further

Hi, I'm very new to Machine Learning and very motivated to do much more as a part of that, I'm trying to build a website(just a fun project) which gets the best news articles to the user. It has to...

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Some nice tutorials on PCA, entropy and others

submitted by xamdam [link][1 comment]

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Anyone here a fan of Quantified Self? What sorts of tools do you use/data do...

submitted by NOT_BRIAN_POSEHN [link][13 comments]

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Classification of News Articles in Clojure

submitted by grassclip [link][1 comment]

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The Internet Connectome project: Attempting to predict latency between IP...

submitted by ynd [link][11 comments]

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