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Hyper-parameter estimation on confidence bounded losses?

I'm searching hyperparameters using TPE methods on a small dataset. The loss function for the hyperparameter search is the mean of my accuracy metric over the K-Folded training set.The standard...

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How does gradient descent know which values to pick next?

Hi all. I'm a beginner, and was confused on how Gradient Descent (SGD) knows what parameter values to pick on the next iteration if convergence has not been achieved. I'm aware of the update rule (the...

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Natural language processing in Python

I want to be able to take a whole bunch of text, say, individual blog posts, and pick out the few keywords that describe that post. Think something like automatic tagging.I am quite familiar with...

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Harvesting and Analyzing Tweets | School of Data

submitted by imsome1 [link][2 comments]

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Free Software for Text Analysis, NLP, Clutering, etc., on Text Corpora?

Hello r/machinelearning,I'm putting together a report on some company documents, including a couple of text corpora that I'd like to do some statistical / ML analyses on.Can you guys recommend software...

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Paris Machine Learning Meetup #8: Finding a needle in a Haystack, Beyond SGD,...

submitted by compsens [link][comment]

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Good algorithms for network learning from categorical time series data?

Suppose a number of persons give Likert responses to [;p;] items on a questionnaire, repeating on a number of time points. I want to show what item-response [;j;] at time [;t;] best explains a change...

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Could someone help me understand the difference between a linear classifier...

submitted by dorik [link][comment]

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Naive Bayes classification for large data sets

submitted by lumengxi [link][comment]

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Predicting Olympic medal counts per country

submitted by cavedave [link][comment]

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Shout out from Bill Gates

submitted by dhammack [link][8 comments]

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ELI5-What is Deep learning?

My understanding so far for this is just as set of Neural network algorithms. What makes them different than something like gradient decent or Support vector machines? (other than time it takes or...

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Looking for small perturbations in time series data

Hi, I am looking for ideas from the ML community. I am trying to discover small perturbations conditioned on one feature space of a multi dimensional time series data .Perturbations are significant...

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Choosing Grad School?

When deciding on a Grad school is it better to consider the overall ranking of an institution or on the ranking of the faculty itself? I ask this because I live down under (Australia) and some...

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Is there an exhaustive list of machine learning conferences over the next year?

As part of a scholarship I have for my undergraduate studies, I get a travel stipend, and I would like to use it to go to a few conferences. I am a mathematics undergrad who is slowly but surely...

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[Request] Causal Entropic Forces - code!

Hi all,I've seen recently how Prof. Wissner-Gross' paper on Causal Entropic Forces: http://www.alexwg.org/publications/PhysRevLett_110-168702.pdf has taken off, suggesting a way in which a system may...

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Using ReliefF to predict the class of the next number returned by PRNG.

I'd like to duplicate the results achieved in this paper http://lkm.fri.uni-lj.si/rmarko/papers/Savicky08-AAI.pdf (page 9) using ReliefF to predict the class of the next number given to me by a PRNG....

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Machine Learning on Coursera starting March 3, 2014. Anyone want to join with...

I took an AI course in college, but I'm pretty noobish about machine learning. Looking for anyone wanting to join with me, so we could learn together. Maybe make a subreddit just for us? Link:...

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Why were particular clusters formed?

I'm using scikit in Python for some high-dimensional clustering. Clustering algorithms such as KMeans or DBSCAN spit out a bunch of clusters and I can intuitively see why they were grouped together....

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Using 3rd party data with Pylearn2 [OC]

submitted by ian_goodfellow [link][3 comments]

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