Pros and cons of neural nets?
I remember hearing at one point that any learning algorithm has problem classes it doesn't perform well on. I was wondering where I could get more information on that -- and in particular, on what...
View ArticleLearning to identify emotions from chat logs
I want to learn more about things that you can learn from studying chat logs, especially attempting to identify emotional state of the users.I don't know where to start reading to learn more about...
View ArticleCan a computer predict the amount of money you have in your bank account?...
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View ArticleBest Binary Classifier In This Situation?
The problem: I have a vector of 30 inputs (all binary except one) and a single output (binary). Over 1 million samples are 'negative' (i.e. output = 0) and around 5000 are 'positive' (i.e. output =...
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[Deep Learning] Meet the Man Google Hired to Make AI a Reality
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Google Acquires Artificial Intelligence Startup DeepMind For More Than $500M
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Topology allows machines to start recognizing and classifying shape that...
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View ArticleClassifying MLB Pitchers By Pitch Type Percentage
I have 7 years of pitching data in the MLB and want to classify the pitchers over these seasons according to the frequency with which they throw certain pitches. What algorithms should be at the top of...
View ArticleQuestion: Training- and testset for multi-label classification
Hey,I've got a multi-label classification problem. My dataset has one primary key attribute, 12 numeric attributes and 16 label attributes (with 0;1). Overall instances are 814. Of these 814 instances,...
View ArticleNot understanding something fundamental about the Metropolis-Hastings algorithm
I am reading Bishop (which is slightly over my head currently) and looking at the code hosted here, and I believe I understand everything about this implementation. It seems to be approximating a...
View ArticleClassifying categorical data that is not in the training set.
I am using python scikit-learn and want to classify categorical data that appear like this:feature 1, feature 2, feature3, feature 4 =animal typeRight now I am thinking about using support vector...
View ArticleBest intro to ML books?
I'm a second year CS student and I want to dive into ML as early as possible. I have some of the theory based math done, including: LA I & II, Calc I & II, Multi. Calc I, Stats & Prob...
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First crack from a non-academic at a white paper discussing my "bliss engine"...
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Topological Data Analysis: A Framework for Machine Learning | Ayasdi Blog
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View ArticleNeed clarification concerning bias parameter w0 in linear models for...
Can anyone explain what he means by "compensates"?Thus the bias w0 compensates for the difference between the averages (over the training set) of the target values and the weighted sum of the averages...
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What makes the reproducing kernel Hilbert spaces point of view useful in...
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