Blog articles tagged 'f#', 'quantitative modeling'

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on 8/8/2015 6:42 PM
A couple of weeks ago, I came across this blog post by Steve Shogren, which looks at various programming languages, and attempts to define a “language safety score”, by taking into account a list of language criteria (Are nulls allowed? Can variables be m[...]
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on 2/15/2014 5:51 PM
My favorite column in MSDN Magazine is Test Run; it was originally focused on testing, but the author, James McCaffrey, has been focusing lately on topics revolving around numeric optimization and machine learning, presenting a variety of methods and appr[...]
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on 5/26/2013 3:06 PM
I got interested in the following question lately: given a data set of examples with some continuous-valued features and discrete classes, what’s a good way to reduce the continuous features into a set of discrete values? What makes this question interest[...]
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on 4/28/2013 3:32 PM
In our previous post, we began exploring Singular Value Decomposition (SVD) using Math.NET and F#, and showed how this linear algebra technique can be used to “extract” the core information of a dataset and construct a reduced version of the dataset with [...]
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on 4/14/2013 6:20 PM
Last Thursday, I gave a talk at the Bay.NET user group in Berkeley, introducing F# to C# developers. First off, I have to thank everybody who came – you guys were great, lots of good questions, nice energy, I had a fantastic time! My goal was to highlight[...]
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on 2/10/2013 4:25 PM
And the Journey converting “Machine Learning in Action” from Python to F# continues! Rather than following the order of the book, I decided to skip chapters 8 and 9, dedicated to regression methods (regression is something I spent a bit too much time doin[...]
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on 12/29/2012 10:23 PM
This post continues my journey converting the Python samples from Machine Learning in Action into F#. On the program today: chapter 7, dedicated to AdaBoost. This is also the last chapter revolving around classification. After almost 6 months spending my [...]
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on 12/26/2012 4:50 PM
This is the continuation of my series converting the samples found in Machine Learning in Action from Python to F#. After starting on a nice and steady pace, I hit a speed bump with Chapter 6, dedicated to the Support Vector Machine algorithm. The math is[...]
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on 11/10/2012 4:00 PM
The Kaggle/StackOverflow contest officially closed a few days ago, which makes it a perfect time to have a miniature retrospective on that experience. The objective of the contest was to write an algorithm to predict whether a StackOverflow question would[...]
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