Sparse Online Learning via Truncated Gradient
submitted by solen-skiner [link] [comment]
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The Fortune 500 company I work for has many jobs open currently in the NLP area.
If you would be interested in learning more, PM me and I'll send you the link info where you can look at current job openings. Hopefully I'm not violating any rules by doing this. I work in sales in...
View Articlehelp learning about ML(for a recommendation engine)
I want to learn about machine learning for an app that I want to build- the app will suggest reading topics based on your to-read list(I'll probably use Instapaper's API). Say, for example that if I've...
View ArticleApproaches for analyzing text in comments and building a knowledge base from...
Maybe this is an approach for NLP but what are some approaches for analyzing text content from a user forum like reddit and trying filter out the noise converting the information into useful...
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The slides of the Workshop on Algorithms for Modern Massive Data Sets (MMDS)...
submitted by igorcarron [link] [1 comment]
View ArticleWhich models are better at regression and which models are better at...
As an example: are random forests great for classification but not so great at regression? What about neural nets and SVMs? submitted by rudyl313 [link] [3 comments]
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Questions about ensembles and nearest neighbor.
I have been reading up on ensembles and how randomized forests, extremely randomized trees, etc. can be used for classification, regression, and manifold estimation (via this Microsoft technical...
View ArticleLinks for downloading papers of ICML 2012 and of several ancient ICML...
submitted by TonySuarez [link] [1 comment]
View ArticleSML: Scalable Machine Learning Course by Alex Smola
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View ArticleAny suggestions of recent (say at most ~5 years old) of ML papers that are...
I'm feeling a bit like I've just been reading papers from my narrow interests and that of those around me but I'm looking to branch out. It'd be awesome too if you'd say a bit about why you think the...
View ArticleQuestion about Gradient Descent and Convexity
Hi guys, I'm a little confused and I'm hoping you can help me out. Suppose you have a non-convex differentiable function that only contains one minimum. Gradient descent should find this one minimum...
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Advice for an Undergraduate (Compressive Sensing Edition)
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Slides of the IPAM Deep Learning, Feature Learning Graduate Summer School
submitted by igorcarron [link] [3 comments]
View ArticleWhat libraries do you use for minimisation?
The title is pretty self-explanatory, but what libraries do you use for minimisation (as part of gradient descent, etc.)? In any language that you use. I was looking for a library for FORTRAN 77 but...
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deep learning powers android voice recognition
submitted by marshallp [link] [9 comments]
View ArticleIntroduction to Random Forests?
Could anyone recommend a good introduction to random forests? Perhaps even something of tutorial level? My google-fu seems to have failed me. Thanks! submitted by tasdomas [link] [12 comments]
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How Many Data Scientists Are There? [Non-blogspam version]
submitted by willis77 [link] [9 comments]
View ArticleELI5: Can someone explain how kaggle works?
I kind of understand what kaggle is. But I am not really understanding who would want to get involved and why? How do you approach kaggle? Do you actively compete? How do they analyze the results? Is...
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