A tutorial on Latent Semantic Analysis with Python code
submitted by rrenaud [link] [comment]
View ArticleWhy/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...
View ArticleLooking 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...
View Article(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...
View ArticleHelp 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...
View ArticleVisually 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...
View ArticleDoes 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...
View ArticleWhat 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]
View ArticleOldie but a goodie: Stein's Paradox in statistics and Empirical Bayes (1977)
submitted by rrenaud [link] [1 comment]
View ArticleDeforestation 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...
View ArticleStatistical analysis on twitter data: differences between NYC and SF
submitted by rrenaud [link] [8 comments]
View ArticleYou'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...
View ArticleReally cool machine learning job at D-wave.
submitted by jacksofscience [link] [12 comments]
View ArticleLong-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...
View Articleusing 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...
View ArticleEigenfaces, linear algebra for face recognition: a well done tutorial with...
submitted by rrenaud [link] [2 comments]
View ArticleHow 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...
View ArticleTrying 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...
View ArticleUnderstanding 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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