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The Netflix Tech Blog: Distributed Neural Networks with GPUs in the AWS Cloud
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Deep learning might make your Netflix recommendations a lot better
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View ArticleNeed advice for job interview
Hello folks! I have an interview coming up for a data scientist position. I graduated with a masters in mathematics in December and this job is my dream job. This company is one of the biggest in the...
View ArticleHow to track multiple objects across time using only proximity matrices?
So I've got ~1000 objects where at different time points I'm able to generate a proximity matrix between them. I don't have access to the actual locations of these objects, just the proximity between...
View ArticleIs there a good video tutorial on recurrent neural networks ?
I have been looking around here and there for a good video lecture on recurrent neural nets (google tech talk has one but not explanatory only introductory). Cannot find one, even though lecture slides...
View ArticleWhat kind of features can you extract from a single time series to use it...
I'm new to ML, and I'm trying to get my head around feature extraction... So if I have a time series of >1000 numbers, what kind of features I can extract from it to help improve a neural network...
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TED | An equation for intelligence by Alex Wissner-Gross
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Inside the wacky world of weird data: What's getting crunched
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View ArticleMethods to determine parameters for Support Vector Machines with RBF kernel...
I am using python scikit learn to work with SVM with an RBF kernel.Is there a good way to solve for the Complexity cost (C value) and gamma when using an RBF kernel other than grid search then looking...
View ArticleUsing copyrighted images to train and algorithm?
Is it legal to use copyrighted images to train a learning algorithm? Assuming you don't publicly display the photos. If it isn't legal, then how often does this issue actually come up in practice? I...
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State of the Art repository for various datasets
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View ArticlePredicting time data.
total mlnoob here. Trying to get a grasp on neural networks using a paper that predicted horse race times.My - limited - understanding is that the historical time based outcomes are used to train the...
View ArticleGenerating a final logistic regression model from bagging
So I'm using bagging to generate N bootstrapped samples. Then training N logistic regression classifiers. Each N classifier outputs some probability of being in a binary class. I average their...
View ArticleBayesian Model Averaging with a finite set of models coming from different...
I have L Latent Dirichlet allocation models (different #topics), K mixture of dirichlet models (different #centers) and N counting grid models (different Grid/Window size). K,L and N is finite (=...
View ArticleData sets to 'practise' with while studying machine learning?
I took a machine learning course this year which covered a lot of different algorithms and techniques, but only involved coursework to implement one or two of them. I think it would be helpful to...
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Presentations made at Paris Machine Learning Meetup #8
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View ArticleGradient Descent Question
Hi, so I am pretty new to ML and for my first project, my teacher wanted me to learn the basics of linear regression using stochastic gradient descent. My question is this: when you are updating each...
View ArticleGraph theory - is it of any use in machine learning?
I am aware of probabilistic graphical models, but somehow I don't see alot of graph theory in that area of ML... don't know if there is any other useful application of graph theory? Actually, what I'm...
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Constrained optimization in Pylearn2 [OC]
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View ArticleRecommended way to start learning ANNs with python pyBrain.
I am familiar with most machine learning algorithms and want to pick up a better understanding of Neural Networks and setting them up in python using pyBrain.Are there any good books/ intros to...
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