Joel Pobar, TweetHabituated technologist & software all-rounder
Biography: Joel Pobar
Joel Pobar is a compiler and languages from the sunny Gold Coast in Australia. He was previously a Program Manager on the Microsoft Common Language Runtime (CLR) team where he worked on late-bound dynamic CLR features and API's, the Shared Source CLI (Rotor) program, Generics and Dynamic languages. He’s now deep in high performance high scalability .NET software for investment banks, governments, and Fortune 500’s. He is active in the .NET community, spending his spare time writing blog entries, articles for his favourite publication (MSDN magazine), and regularly speaks at Microsoft technology conferences.
Software Passion: Deeply inspirited by compiler and virtual machine technologies, platforms, hardware and v.next software.
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Presentation: Tweet"Smart Software with F#"
Google, Netflix, Amazon and more, are using smart algorithms that leverage ever
increasing clock cycles, and a plethora of user generated data, to find patterns
that derive value. They've brought smart software to the attention of the
software development mainstream: PageRank, machine learning, support vector
machines, classification techniques, search and rank, and more. We explore some
of these algorithms and their implementations using a new functional programming
language for the Microsoft .NET platform, called F#. It has features and
techniques that make working with data and building smarts much easier. We'll
start with a walk through of the language, then get right down to hacking out
smart algorithms that you can leverage in your own software.
Keywords: Functional Programming, .NET, Collective Intelligence, Data Mining, Cloud Computing
Target audience: Developers who are interested in collective intelligence algorithms, and how functional programming languages like F# can be leveraged to build them efficiently