Functional Language Paradigms with F# - Part II
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Description
Nearly a month ago I visited the NYC ALT.NET User Group in Manhattan. Having been told by Steve Bohlen that I was up against a particularly sharp audience, I decided to do something much different than I had in any of my previous talks.
You can learn more at Rick's blog at http://richardminerich.com/2010/09/learning-f-for-fabulous-prizes/.
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Rick Minerich (rick.minerich)
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Researcher. Functional Programmer. Co-author of Professional F# 2.0 and F# MVP. Loves Machine Learning, Type Systems and Physics.
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Rick's past online trainings
525 USD
Jun 5-6, 2012
Join us for this 2-day, 2-track F# event, packed with hands-on tutorials covering the latest developments in the fast moving world of F# Programming. Whether new to F# or seasoned veteran, be ready for an action packed two day adventure.
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Sunday, August 15, 2010
Nearly a month ago I visited the NYC ALT.NET User Group in Manhattan. Having been told by Steve Bohlen that I was up against a particularly sharp audience, I decided to do something much different than I had in any of my previous talks.
Free
Online
Sunday, August 15, 2010
Nearly a month ago I visited the NYC ALT.NET User Group in Manhattan. Having been told by Steve Bohlen that I was up against a particularly sharp audience, I decided to do something much different than I had in any of my previous talks.
Free
Online
Sunday, August 15, 2010
Nearly a month ago I visited the NYC ALT.NET User Group in Manhattan. Having been told by Steve Bohlen that I was up against a particularly sharp audience, I decided to do something much different than I had in any of my previous talks.
Free
Online
Thursday, March 18, 2010
One area where F# excels beyond other languages is its language oriented programming features. These are especially useful for the testing and analysis of existing code. In this intermediate to advanced talk, Richard will demonstrate how F# can be used to ...
Rick's blog posts
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on 3/27/2013 1:18 PM
Before getting started with Machine Learning in F# Interactive it’s best to prepare it for large datasets and external 64-bit libraries so you don’t get blindsided with strange errors when you happen to cross the line. The good news is it’s a simple proce[...]
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on 3/15/2013 3:07 PM
Big data is the buzzword de jour, and why not? Companies like Google with huge server farms are doing amazing things leveraging huge amounts of data and processing power. It’s all very sexy but these researchers get to pick and choose the data they work[...]
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on 12/2/2012 10:50 PM
As of today I’ve completed my fifth course at Coursea, all but one being directly related to Machine Learning. The fact that you can now take classes given by many of most well known researchers in their field who work at some of the most lauded instituti[...]
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on 10/15/2012 1:42 PM
What do you do with a drunken coder, What do you do with a drunken coder, What do you do with a drunken coder, Ear-ly in the morning? Put em’ on the build and make em fix it, Put em’ on the build and make em’ fix it, Put em’ on the build and make [...]
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on 9/4/2012 1:52 PM
Levenshtein distance is one of my favorite algorithms. On the surface it seems so very simple, but when you spend some time thinking hard on it deep insights are waiting to be had. The first and most important thing about Levenshtein distance is it’s actu[...]
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