Taking beginner's course in machine learning focusing on NLP, and not very...
The course book we're using is 'Introduction to Machine Learning' by Ethem Alpayden, and feel like I have a difficulty of understanding his explanations within certain areas. I would like to have some...
View Articlegood matrix analysis online reference (for machine learning)?
Hi, folks, Is there any good online reference (open course) on advanced matrix analysis I know Stephen Boyd's convex optimization, but it is more on optimization side, and I also know pretty much about...
View ArticleGradient Boosting: Annealing vs Constant Learning Rate
Is there any theoretical or practical reason to use a constant learning rate in a gradient boosting machine? That is compared to annealing (decreasing the learning rate every iteration until it reaches...
View ArticleWhat is a "graph kernel"
Hello ML community. I just found this place and probably will lurk around more from now on. Some great threads here!. Maybe I will just go straight to the question: Can someone explain to me the idea...
View ArticleBig data from the viewpoint of statisticians -- interesting discussion at...
submitted by wookietrader [link] [comment]
View ArticleWhat is your favorite Machine Learning lecture on YouTube?
I'll start. I really enjoyed Brains, Sex, and Machine Learning by Geoffrey Hinton. I'm limiting it to YouTube for the selfish reason that I like to be able to download lectures so that I can watch them...
View ArticleA Non-Mathematical Introduction to Using Neural Networks
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View ArticleUnderstanding gain and decision trees
I am trying to understand the gain formula for decision trees and I am currently going off of this slide deck: http://www.site.uottawa.ca/~stan/csi5387/set1.pdf (Look at slides 25-30). I am not quite...
View ArticleMapping functions to reduce Time Complexity? PhD Qual Item
This was on my last comp stat qual. I gave an answer I thought was pretty good. We just get our score on the exam, not whether we got specific questions right. Hoping the community can give guidance on...
View ArticleTime series: Finding the point of saturation. Or: What's the value of D for T...
Hi folk, I'm from physics and very new to this topic, so I don't know a good approach yet and I hope you can help me. Here is the material of interest: http://imgur.com/DagJD,f9OcR,g7BKf,8crYb These...
View ArticleXerox now leaves all hiring for its 48,700 call-center jobs to software
submitted by cavedave [link] [7 comments]
View ArticleForget your fancy data science, try overkill analytics
submitted by ecsibleyjr [link] [4 comments]
View ArticleBest way to scale up/parallelize evolutionary algorithms?
I wrote code for an evolutionary algorithm that performs feature selection on a fairly feature rich (300-500 feature) dataset whose fitness function is an SVM. It functions correctly, but the speed of...
View ArticleWhat would be a trivial statistical baseline for comparison with SVM based...
I got an assignment to implement a classifier that will categorize documents in quite large corpus. I decided to go with SVMs with linear kernel, achieved good results, moved on to theoretical...
View ArticleRelationship between joint probability distribution and causality?
I'm trying to interpret the results of some measurements in geophysics and thought this crowd might know the answer: If a set of events A and B have a joint probability distribution P(A,B), how might...
View ArticleIs there a machine learning algorithm that can inject randomness in...
As machine learning algorithms are trained on more and more data, their prediction for any given set of input attributes is likely to converge to a specific prediction. While they have less data (or,...
View ArticleSome questions on Text Analysis
Hi, I hope this is the right subreddit. For a small project I'd like to sift through a large amount of articles and tag them according to category (Interview, News article etc.) and occurrence of a...
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