My Education in Machine Learning via Cousera, A Review So Far
submitted by srkiboy83 [link][17 comments]
View ArticleHow do you test a GIZA++ model?
I'm using GIZA++ to align Korean and English sentences. I know how to train a model with GIZA++ with my parallel corpus, but I can't find a way to test my model and use it for future predictions. I see...
View ArticleNeed clarification on Dirichlet Process Inference
Hello all:I need one point clarified for me regarding gibbs sampling on a dirichlet process--I am pretty much up-to-speed on the generative portion of the algorithm:for each datapoint to be generated:...
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Successful Test Flight of Autonomous Black Hawk Helicopter
submitted by stockthrow [link][1 comment]
View ArticleMulticlass classification with SVM (1 vs all) question
HiI'm trying to do Multiclass classification with SVM, I have 7 classes. Now I was wondering if this was possible. I'm thinking of creating 7 SVMs for 1 vs all approach. Am i allowed to create 1 kind...
View ArticleAre Kohonen SOMs and K-means really that different?
Hey all, So recently took it upon myself to learn Kohonen SOMs by myself. I did this over the thanksgiving break while trying to dodge my 4 year old cousins from finding me in the house, so I am quite...
View ArticleHow do you approach a data mining contest?
I'm just wondering what's the process each of you use when you are faced with a new Kaggle/other contest. Most of the winners seem to have a hybrid/kitchen sink approach to things. How do you get to...
View ArticleHelp: Trying to understand the basics of bayesian inference
submitted by jokerbrb [link][comment]
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Anyone have a good Cased Based Reasoning Tutorial?
I don't know anything about Cased Based Reasoning and the Wikipedia's not really doing justice to this topic (imo). Anyone got any good resources (from a modeler's not implementer's standpoint) on how...
View ArticleWhat happens when you remove the support vectors from the training data and...
Lets say I trained an SVM model on some training data. I then remove the support vectors from the training data and re-train the model. The new model will have new support vectors. But, what all has...
View ArticleOptions for Ranking/difficulty
I've been tasked with coming up with a way of ranking the difficulty of elements in a problem set. We have a set of about 30 "problems", which we will get a binary correct/incorrect outcome from when...
View ArticleDerivation of a novel efficient supervised learning algorithm from...
submitted by locster [link][2 comments]
View ArticleLooking for this kind of data...
Hey all, So I am looking for a particular kind of data: What I would like to have, it higher than 3-d data, but where we know before hand the number of clusters that exist. Through google I have...
View ArticleIs there a difference between computing parameters of GMMs and how...
Hey all, So I have been studying up on the Expectation-Maximization algorithm, (EM), but I also know of Gaussian Mixture Models, (GMMs), that are used to describe data that is a Mixture of Gaussians....
View Articlepredicting energy usage question
Hi /r/machinelearningI was wondering if you folks might have any suggestions on a pet project that I've been thinking about. Also, if I'm barking up the wrong subreddit, please inform me.Anyways, I...
View Article[Question] machine learning resources
Hi MLers , Any good machine learning books/resources you would recommend ? submitted by amaboura [link][6 comments]
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Andrew Ng's class vs Tom Mitchell's class
I am a sophomore in CS and have taken Thrun's Intro to AI. I have good basics in linear algebra, probability and some basic stats. I want to take a ML class to learn about Machine Learning techniques...
View Articlevariational Bayes approximation of Boltzmann machine (or restricted Boltzmann...
I apologize if this is the wrong subreddit to post to, but I was wondering if anyone is familiar with a variational Bayes algorithm to perform inference for either a general Boltzmann machine, or on...
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