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The Seductive Trap of Black-Box Machine Learning
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Request your invite for MonkeyLearn: the next generation text mining toolkit
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Hi all, I could use some help!I have an assignment coming up soon on the topic of "Natural Language Processing", where I have to give a brief presentation on the process of NLP, not from an overly...
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Parsing English with 500 lines of Python [x-post /r/python]
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Datasight.io - Machine Learning for the Masses
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View ArticleScientists and engineers with little ML experience, would learning to build...
Hi Everyone,I’ve noticed quite a few posts from people asking about how to go about getting into machine learning. Most replies usually seem to suggest reading through some well known books (such as...
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Aaronson, COLT, Bayesians and Frequentists: "computational learning theory is...
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View ArticleDeep Learning Stanford tutorial forbidden
Hi, the unsupervised feature learning/deep learning tutorial at http://ufldl.stanford.edu is returning 403 Forbidden, would thank a fix or a url for a mirror. submitted by jesuslop [link][2 comments]
View ArticleHelp Me Understand K-Fold Validation
So we have (let's say) 1 million rows of data to fit a model to. We're going to fit a Lasso Regression model, so we need to set the regularization parameter. We do K-fold validation with... 10(?) folds...
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Topics of Machine Learning and Deep Learning in Finance
Hi guys, I'm studying Economics and Finance with a focus on statistics and finance. I recently took a Machine Learning course and found it really interesting, particularly, so now I'm thinking of...
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A Neuroevolution Approach to General Atari Game Playing
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View ArticleLibrary for out-of-the-box (Deep) Learning on Images?
I've got a set of images, each with an output label.What libraries are out there that will let me load in my images and do classification? I mean libraries that automatically handle extracting features...
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Google Research Blog: A Billion Words: Because today's language modeling...
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