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Converting categorical data into numbers with Pandas and Scikit-learn
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View ArticleCouple of Simple questions about Artificial Neural Networks
I've been reading Negnevitsky's 'Artificial Intelligence - A guide to Intelligent Systems'. I'm trying to get my head around ANN's but one thing is thing is bothering me (I think lack of real-world...
View ArticleHow big is the largest strongly connected component of the web?
I'm not sure if this is the right place to ask, so tell me if you think there is a better subredditAccording to this link: http://www9.org/w9cdrom/160/160.html the main SCC of the web was over 50M...
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Anyone have a tutorial link for building a basic classifier?
Hi,I'm a newbie in machine learning field. I'm generally interested as how to get started by classifying text.Edit: Let me give an example. Suppose i have a month's of openstack mailing list data. I...
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Researchers develop a computer application that generates gibberish that one...
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View ArticleWhat do Machine Learning Engineers for companies actually do?
ML algorithms come prepaged in R and Python. I am wondering what are the specific tasks, responsibilities and methods used for these positions. Specifics on the programming that is done would be great!...
View ArticleSome questions I need answered about ML. Help me maybe?
Is Bayes Classifier the best? why?Is it enough to have conditional density fy|x to estimate regression func m?No. of support vectors in LS-SVM if data is linearly separable? submitted by mln00b...
View ArticleWhat are some literature/resource on extracting author name from a web page?
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View ArticleBayesian versus frequentist??
For me, when the parameters are fixed (deterministic) but unknown, it is easy to interpret. However in a Bayesian approach, say p(x=1)=p_1 (unknown). The parameter p_1 is stochastic, which has a...
View ArticleCalculating point distance to hyperplane, LibSVM?
I wasn't sure if anyone had run into an instance when they needed to know the distance from a point to the hyperplane. In the FAQ for for LibSVM they write the following:Q: How do I get the distance...
View Articleyahmm: Yet Another Hidden Markov Model (xpost from r/python)
Hello all!I'm happy to present Yet Another Hidden Markov Model (yahmm), a new package written by a friend and myself in Python, attempting to make the usage of HMMs easy, while also being comprehensive...
View ArticleI understand the intuition behind the kernel trick, but still can't grasp why...
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View ArticleDeep learning for NLP
Hi everyone ! I am working right now on a project for applyind deep learning techniques to sentiment analysis, and text classification in general, do you guys have any links, book recommendations or...
View ArticleStranger in a strange land: a Big Data programmer meets the HPC community.
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View Articlebayesian fantasy football
http://www.bayesff.com/bayesian101/http://www.bayesff.com/historical/I created this site for last year's fantasy football season and wanted to pass it along, mostly in the hope that you guys find it...
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Literature on "pure" supervised feature learning?
I'm interested in literature on supervised feature learning, specifically in an environment when labels are always available. I see that there are a lot of methods for semi-supervised feature learning,...
View ArticleWhat's going on with Hebbian learning these days?
I'm not very familiar with the ins and outs of hebbian learning, but it seems it was pretty important in the earlier days of neural networks, Oja showed it could be used to get PCA from linear...
View ArticleHow to regularize / stabilize neural network with sparse inputs?
Hello, Suppose we have the first layer of a neural network h = activation(W*x). In general, I would regularize this part of the network by applying a small amount of dropout to x, constraining the...
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