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A tutorial on Latent Semantic Analysis with Python code

submitted by rrenaud [link] [comment]

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Why/how does Gibbs sampling work?

I can't find an explanation I understand as to why alternatively sampling from the conditional distributions of each variable asymptotically gives samples from the full joint distribution. Does anyone...

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Looking for an approachable explanation of Variational Bayes

Hi all, I am looking for an intuitive explanation of variational bayes. Does anyone know of an accessible tutorial or a video of someone who explains variational bayes as clearly as Andrew Ng? Thanks...

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The remarkable k-means++

submitted by rrenaud [link] [6 comments]

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(Machine Learning) Dont like WEKA? I've been working on a new ML library JSAT...

For about 2 years now, I have been working on a library in my spare time. Like many of you, I took a Machine learning course in college and enjoyed it. However, I did not like Weka. So I decided I...

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Help with Eureqa

I'm just getting started with Eureqa, but even running a session against some predictable demo data is already frustrating. For example, I have 100 products with sales data for the first 30 days. I...

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Visually self-aware systems?

Hi -- sorry I didn't go to grad school so forgive any confusion of vocabulary... I'm wondering if there has been any research into the potential usage/existence of a visually self-aware system... not...

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Does anyone know of any economic studies involving AI? E.g. using models like...

I'm guessing you know all about http://en.wikipedia.org/wiki/Conway's_Game_of_Life edit - I can program and know a thing or two about economics. Just a bit of an AI novice so intro to any basics...

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What is the state of the art for efficient k-nearest neighbor search?

What is current the best algorithm/data-structure for efficiently finding the K nearest neighbors of an arbitrary point in a data set (using Euclidean distance)? submitted by rudyl313 [link] [22 comments]

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Oldie but a goodie: Stein's Paradox in statistics and Empirical Bayes (1977)

submitted by rrenaud [link] [1 comment]

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Deforestation of Random Forests

I'm doing some experiments in classification of genomic sequences using Random Forests. I was wondering if it makes sense to remove trees, which have a high error rate in out-of-bag samples, from the...

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Statistical analysis on twitter data: differences between NYC and SF

submitted by rrenaud [link] [8 comments]

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You're handed a 5 years worth of ecommerce data from a large site and asked...

I'm finding myself in similar corporate situations (this is a bit more general to make it interesting). Part of my work is to supply reports on sales and distribution numbers. Initially they were just...

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Really cool machine learning job at D-wave.

submitted by jacksofscience [link] [12 comments]

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Long-time programmer: Where to begin?

Preface: my apologies if this has already been asked on here (I searched for similar posts and couldn't find anything really tackling it). I've been programming for a number of years and feel fairly...

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using Scipy.optimize to optimize a cost function in Neural Network

I took Machine Learning course on Coursera. I'm trying to port some of my code to python. I'm specifically programming a 3 layer Neural Network. I realized that there is scipy.optimize.fmin_bfgs...

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Eigenfaces, linear algebra for face recognition: a well done tutorial with...

submitted by rrenaud [link] [2 comments]

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How would you build a system for recognizing collectible postage stamps?

Postage stamp collecting (/r/philately/) is a very popular hobby. The hobby depends on several large paper catalogs issued to help collectors identify what they have. But with over 1/2 million...

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Trying to learn SVMs

Good Day, I am trying to learn SVMs. We went over them in class and I get the general idea of them. But now I am trying to sit and learn the the math to actually learn the classifier. Do you know of...

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Understanding the structured perceptron for POS tagging

I have some trouble understanding exactly how one should implement the structured perceptron for part-of-speech tagging. Could you please confirm or correct my thoughts, and/or fill in any gaps...

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