Blog articles tagged 'f#', 'machine learning'

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on 5/6/2016 7:17 AM
Google Cloud Platform provides a wide range of APIs, one of which is Cloud Vision API that allows you to detect faces in images, extract sentiments, detect landmark, OCR and etc. One of available annotators is “Logo Detection” that allows you to find comp[...]
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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 11/11/2014 11:33 AM
There is a function I need. I know how to write it, but I don’t know if it has a standard name (like map, fold, etc.). It takes one argument — a list of something — and returns a list of 2-tuples of equal length. Each tuple contains one item from the list[...]
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on 8/28/2014 8:50 PM
Today, at devLink 2014, my last session of the day is “Practical Machine Learning – Predicting Things” by Seth Juarez. In his presentation, Seth talks about machine learning and his machine learning library, numl. The session is very entertaining and I le[...]
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on 5/6/2014 10:33 AM
 A new F# meetup is starting in Portland, OR!  The first session is scheuled for Saturday, May 17, a Hands on Introduction to Machine Learning with F#. Mathias Brandewinder (@brandewinder on Twitter) has graciously agreed to lead a three hour dojo giving [...]
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on 4/1/2014 4:55 AM
  At BUILD 2014? Take an evening out to join the F# Bay Area Meetup Group in Silicon Valley for their Coding Dojo - A gentle introduction to Machine Learning with F#. Machine Learning is the art of writing programs that get better at performing a task as [...]
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on 3/1/2014 7:32 PM
During some recent meanderings through the confines of the internet, I ended up discovering the Winnow Algorithm. The simplicity of the approach intrigued me, so I thought it would be interesting to try and implement it in F# and see how well it worked. [...]
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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 1/18/2014 7:49 PM
A couple of months ago, I started working on an F# decision tree & random forest library, and pushed a first draft out in July 2013. It was a very minimal implementation, but it was a start, and my plan was to keep refining and add features. And then life[...]
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on 11/17/2013 1:14 PM
Neural networks are very powerful tool and at the same time, it is not easy to use all its power. Now we are one step closer to it from F# and .NET. We will delegate model training to R using R Provider. Also we will use Deedle (that was announced some da[...]
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