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	<title>Channel 9 Forums - Coffeehouse - Machine Learning</title>
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		<title>Channel 9 Forums - Coffeehouse - Machine Learning</title>
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	<description>Channel 9 keeps you up to date with the latest news and behind the scenes info from Microsoft that developers love to keep up with. From LINQ to SilverLight – Watch videos and hear about all the cool technologies coming and the people behind them.</description>
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	<pubDate>Thu, 23 May 2013 22:31:08 GMT</pubDate>
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		<title>Coffeehouse - Machine Learning</title>
		<description><![CDATA[<p>Anders Heijslberg answered a question in this <a href="http://channel9.msdn.com/Events/Lang-NEXT/Lang-NEXT-2012/Panel-Web-and-Cloud-Programming">video</a> about what he thought was the &quot;next big thing&quot; in programming language and software and he said he thought &quot;machine learning&quot; was the most pressing issue.</p><p>His answer was the same as a few years ago when concurrency was &quot;the elephant in the room&quot;. Have you any experience in data mining heuristics and do you agree that this is the next &quot;nut to crack?&quot;</p><p>How would machine learning be implemented in a language like C# or Visual Basic, and what application to you this this may have.</p><p>Mike Swanson had a video on <a href="http://channel9.msdn.com/Blogs/Charles/Algorithms-and-Data-Structures-Mike-Swanson-Genetic-Session-Scheduler">Genetic Algorithms</a> a while back, and Josh Smith has implemented this in an objective c <a href="http://ijoshsmith.com/2012/04/08/simple-genetic-algorithm-in-objective-c/">example</a>.</p><p>Is this juts a case of a few people needing to solve a specialised problem or could there be more? I dealt with an American marketing company a while back that was charging many thousands of pounds in order to generate &quot;the right customers&quot; and if I had the time, I would like to have a go at implementing this <a href="http://www-math.mit.edu/phase2/UJM/vol1/PREBYS-F.PDF">paper</a> from MIT as a lot of money is beginning to rely on such expertise.</p><p>What remains is for someone to explain how the .NET Framework or C#/VB could have this as a first class language or library construct?</p>]]></description>
		<link>http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/0df8303499344f159aeda03800f44e48#0df8303499344f159aeda03800f44e48</link>
		<pubDate>Thu, 19 Apr 2012 14:49:29 GMT</pubDate>
		<guid isPermaLink="false">http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/0df8303499344f159aeda03800f44e48#0df8303499344f159aeda03800f44e48</guid>
		<dc:creator>Vesuvius</dc:creator>
		<slash:comments>17</slash:comments>
		<wfw:commentRss>http://channel9.msdn.com/Niners/vesuvius/Discussions/RSS</wfw:commentRss>
	</item>
	<item>
		<title>Coffeehouse - Machine Learning</title>
		<description><![CDATA[<p>Machine learning will be used to mine all the data out there that is being generated at an unbelievable rate, detect patterns and extract signal from the noise ... so it's a huge thing for the future.&nbsp; Anders was saying that programming language designers don't know what to do in the languages itself to support machine learning, yet.</p><p>However, in the same Lang.NEXT conference, there was a presentation - <a href="http://channel9.msdn.com/Events/Lang-NEXT/Lang-NEXT-2012/Reverend-Bayes-meet-Countess-Lovelace-Probabilistic-Programming-for-Machine-Learning" target="_blank">Reverend Bayes, meet Countess Lovelace: Probabilistic Programming for Machine Learning </a>- &nbsp;on machine learning and the presenter addresses Anders' statement (as I told exoteric in another thread).&nbsp;</p><p>So, that brings us to libraries, like <a href="http://research.microsoft.com/en-us/um/cambridge/projects/infernet/" target="_blank">Infer.NET </a>and F# using it, makes a great start.</p><p>&nbsp;</p>]]></description>
		<link>http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/87a8cef9f7e24d07bd08a03800f7d2b8#87a8cef9f7e24d07bd08a03800f7d2b8</link>
		<pubDate>Thu, 19 Apr 2012 15:02:17 GMT</pubDate>
		<guid isPermaLink="false">http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/87a8cef9f7e24d07bd08a03800f7d2b8#87a8cef9f7e24d07bd08a03800f7d2b8</guid>
		<dc:creator>Richard Anthony Hein</dc:creator>
		<slash:comments>17</slash:comments>
		<wfw:commentRss>http://channel9.msdn.com/Niners/Richard.Hein/Discussions/RSS</wfw:commentRss>
	</item>
	<item>
		<title>Coffeehouse - Machine Learning</title>
		<description><![CDATA[<p>It seems like machine learning really begins to shine when you have a specialized use case. So, implementing it in a general purpose framework or language doesn't make sense on the surface.</p><p>However, if you could figure out some of optimizations that have been made to make .NET, the CLR, and the languages work for general purpose use, and adapt them so that they can learn more about what you are trying to do, and adapt to make execution more efficient for the task at hand. Obviously that was a very vague idea, and it becomes very tricky to have code automatically adapt when it's already been fine tuned to work well in certain cases like arithmatic or string manipulation.</p>]]></description>
		<link>http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/9a15a4183602493b858aa03800f988f6#9a15a4183602493b858aa03800f988f6</link>
		<pubDate>Thu, 19 Apr 2012 15:08:31 GMT</pubDate>
		<guid isPermaLink="false">http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/9a15a4183602493b858aa03800f988f6#9a15a4183602493b858aa03800f988f6</guid>
		<dc:creator>kettch</dc:creator>
		<slash:comments>17</slash:comments>
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	</item>
	<item>
		<title>Coffeehouse - Machine Learning</title>
		<description><![CDATA[<p>Yeah, machine learning seems to apply more to the libraries and maybe compilers, then language elements.&nbsp; However, putting support for things like random or sample&nbsp;(a proposed keyword for Infer.NET) might make sense.&nbsp; The way F# integrates with Infer.NET in the presentation shows that there's some room for language support.</p><p>&nbsp;</p>]]></description>
		<link>http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/681799e51957436d93f7a0380109f329#681799e51957436d93f7a0380109f329</link>
		<pubDate>Thu, 19 Apr 2012 16:08:17 GMT</pubDate>
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		<dc:creator>Richard Anthony Hein</dc:creator>
		<slash:comments>17</slash:comments>
		<wfw:commentRss>http://channel9.msdn.com/Niners/Richard.Hein/Discussions/RSS</wfw:commentRss>
	</item>
	<item>
		<title>Coffeehouse - Machine Learning</title>
		<description><![CDATA[<p>@<a href="/Forums/Coffeehouse/Machine-Learning#c87a8cef9f7e24d07bd08a03800f7d2b8">Richard.Hein</a>: Downloaded&nbsp; the video in the link, and the one at infer.NET so that's my evenings viewing sorted.</p>]]></description>
		<link>http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/f48214312af74759add6a038011f3b51#f48214312af74759add6a038011f3b51</link>
		<pubDate>Thu, 19 Apr 2012 17:25:46 GMT</pubDate>
		<guid isPermaLink="false">http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/f48214312af74759add6a038011f3b51#f48214312af74759add6a038011f3b51</guid>
		<dc:creator>Vesuvius</dc:creator>
		<slash:comments>17</slash:comments>
		<wfw:commentRss>http://channel9.msdn.com/Niners/vesuvius/Discussions/RSS</wfw:commentRss>
	</item>
	<item>
		<title>Coffeehouse - Machine Learning</title>
		<description><![CDATA[<p>I like this. Machine learning should be the focus of the software industry. Enough coming up with new and pointless ways to put graphics on a screen, or put data in a data store.</p>]]></description>
		<link>http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/527271b3d25142b9aeb5a039016c970b#527271b3d25142b9aeb5a039016c970b</link>
		<pubDate>Fri, 20 Apr 2012 22:07:25 GMT</pubDate>
		<guid isPermaLink="false">http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/527271b3d25142b9aeb5a039016c970b#527271b3d25142b9aeb5a039016c970b</guid>
		<dc:creator>Bass</dc:creator>
		<slash:comments>17</slash:comments>
		<wfw:commentRss>http://channel9.msdn.com/Niners/Bass/Discussions/RSS</wfw:commentRss>
	</item>
	<item>
		<title>Coffeehouse - Machine Learning</title>
		<description><![CDATA[<p>Machine learning is a new focus for language designers (or will be, as Anders stated in the panel referenced above). How/when is still unclear. In some sense, from a tooling perspective, one application of machine learning would be to automatically generate code (like a function) based on some specified (declarative) input from users that provides enough information for reliable inference (so, here's what the function can do, now make me a function).<br><br>We'll keep a keen eye on this (in addition to more related conversations on C9 with folks doing this type of work like Andy Gordon and Erik Meijer...).</p><p>C</p>]]></description>
		<link>http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/6c4f236ce35d483c8edfa03a014a00d8#6c4f236ce35d483c8edfa03a014a00d8</link>
		<pubDate>Sat, 21 Apr 2012 20:01:30 GMT</pubDate>
		<guid isPermaLink="false">http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/6c4f236ce35d483c8edfa03a014a00d8#6c4f236ce35d483c8edfa03a014a00d8</guid>
		<dc:creator>Charles</dc:creator>
		<slash:comments>17</slash:comments>
		<wfw:commentRss>http://channel9.msdn.com/Niners/Charles/Discussions/RSS</wfw:commentRss>
	</item>
	<item>
		<title>Coffeehouse - Machine Learning</title>
		<description><![CDATA[<p>I've been studying this topic lately too. I'm currently taking online courses in <a href="https://www.coursera.org/course/ml">Machine Learning</a> (Andrew Ng) and <a href="https://www.coursera.org/course/pgm">Probabilistic Graphical Models</a> (Daphne Koller) from <a href="https://www.coursera.org/courses">Coursera</a>&nbsp;and would recommend these as good introductions to the topic. There's a <a href="https://www.coursera.org/course/vision">Vision</a> class starting soon too!</p><p>&nbsp;</p><p>&nbsp;</p>]]></description>
		<link>http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/5e73678fadba4be29e3fa03a015ce72e#5e73678fadba4be29e3fa03a015ce72e</link>
		<pubDate>Sat, 21 Apr 2012 21:10:19 GMT</pubDate>
		<guid isPermaLink="false">http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/5e73678fadba4be29e3fa03a015ce72e#5e73678fadba4be29e3fa03a015ce72e</guid>
		<dc:creator>contextfree`</dc:creator>
		<slash:comments>17</slash:comments>
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		<title>Coffeehouse - Machine Learning</title>
		<description><![CDATA[<p>I'm not 100% sure this use case applies, but since we are talking about mining data, I guess in some sense it applies...</p><p>I remember when Quake was the&nbsp;state of the art&nbsp;FPS and&nbsp;they allowed 3rd party modules (scripts, don't remember the details) to be added to the game engine. There were many bot scripts that allowed you to control the bots using these add-ons. Some were getting to be so good that sometimes you could not tell whether it was a bot or a real person playing.</p><p>Sadly the bots you find in today's games are extremely stupid. For instance, in Gears of War (1/2/3) the bot behavior is so predictable that you can quickly learn how to defeat them. It seems game developers gave up on making truly smart bots.</p><p>So I was thinking whether it would be possible to have learning bots. Basically, you start out with a &quot;blank&quot; bot that just stands there. When he gets shot, he learns the movements from the opponent that killed him. So this is added to his database of moves. As&nbsp;he gets into more combat, he becomes smarter and smarter.</p><p>I know that translating the moves of the opponent to work in a generic way in a dynamic environment is probably quite complex, but I believe much more difficult problems have been solved in the past already.</p>]]></description>
		<link>http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/343a8a0cc6ae4149bab1a03a017ec007#343a8a0cc6ae4149bab1a03a017ec007</link>
		<pubDate>Sat, 21 Apr 2012 23:13:33 GMT</pubDate>
		<guid isPermaLink="false">http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/343a8a0cc6ae4149bab1a03a017ec007#343a8a0cc6ae4149bab1a03a017ec007</guid>
		<dc:creator>BitFlipper</dc:creator>
		<slash:comments>17</slash:comments>
		<wfw:commentRss>http://channel9.msdn.com/Niners/BitFlipper/Discussions/RSS</wfw:commentRss>
	</item>
	<item>
		<title>Coffeehouse - Machine Learning</title>
		<description><![CDATA[<p></p><blockquote><div class="quoteText"><p></p><p><a class="permalink" title="Post Permalink" href="/Forums/Coffeehouse/Machine-Learning/5e73678fadba4be29e3fa03a015ce72e">13 hours&nbsp;ago</a>, <a href="/Niners/contextfree%60">contextfree`</a> wrote</p><p>I've been studying this topic lately too. I'm currently taking online courses in <a href="https://www.coursera.org/course/ml">Machine Learning</a> (Andrew Ng) and <a href="https://www.coursera.org/course/pgm">Probabilistic Graphical Models</a> (Daphne Koller) from <a href="https://www.coursera.org/courses">Coursera</a>&nbsp;and would recommend these as good introductions to the topic. There's a <a href="https://www.coursera.org/course/vision">Vision</a> class starting soon too!</p><p>&nbsp;</p></div></blockquote><p></p><p>Thanks for the heads up, I had looked at my local University, and they only had a course using machine learning with Games. I will definitely do the course. How long has the Andrew Ng been running? Will i have to wait a few months before the next course becomes available?</p>]]></description>
		<link>http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/e05c0696ea244bf7842da03b00aa0460#e05c0696ea244bf7842da03b00aa0460</link>
		<pubDate>Sun, 22 Apr 2012 10:19:00 GMT</pubDate>
		<guid isPermaLink="false">http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/e05c0696ea244bf7842da03b00aa0460#e05c0696ea244bf7842da03b00aa0460</guid>
		<dc:creator>Vesuvius</dc:creator>
		<slash:comments>17</slash:comments>
		<wfw:commentRss>http://channel9.msdn.com/Niners/vesuvius/Discussions/RSS</wfw:commentRss>
	</item>
	<item>
		<title>Coffeehouse - Machine Learning</title>
		<description><![CDATA[<p>That page is kind of confusing - where it has</p><table class="coursera-course-info"><thead><tr><th>Categories</th><th>Duration</th><th>Next Session</th></tr></thead><tbody><tr><td><a class="internal" href="https://www.coursera.org/category/cs">Computer Science</a><br><a class="internal" href="https://www.coursera.org/category/math">Mathematics and Statistics</a></td><td>10 weeks</td><td>23 April 2012</td></tr></tbody></table><p>&nbsp;</p><div>, the &quot;Next Session&quot; is actually the beginning of the entire class (it's referring to the whole course duration as a &quot;session&quot;), i.e. it's when the &quot;10 weeks&quot;&nbsp;<em>starts. (</em>The previous session, which is what I went through, was last fall.) So it actually begins, erm, tomorrow - should probably sign up now ...</div>]]></description>
		<link>http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/73c0740925e54f10b938a03b00bd1d6c#73c0740925e54f10b938a03b00bd1d6c</link>
		<pubDate>Sun, 22 Apr 2012 11:28:32 GMT</pubDate>
		<guid isPermaLink="false">http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/73c0740925e54f10b938a03b00bd1d6c#73c0740925e54f10b938a03b00bd1d6c</guid>
		<dc:creator>contextfree`</dc:creator>
		<slash:comments>17</slash:comments>
		<wfw:commentRss>http://channel9.msdn.com/Niners/contextfree`/Discussions/RSS</wfw:commentRss>
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	<item>
		<title>Coffeehouse - Machine Learning</title>
		<description><![CDATA[<p></p><blockquote><div class="quoteText"><p></p><p><a class="permalink" title="Post Permalink" href="/Forums/Coffeehouse/Machine-Learning/73c0740925e54f10b938a03b00bd1d6c">27 minutes&nbsp;ago</a>, <a href="/Niners/contextfree%60">contextfree`</a> wrote</p><p>&nbsp;should probably sign up now ...</p><p></p></div></blockquote><p></p><p>Thats what I thought, I need to find out how much it costs, thanks</p>]]></description>
		<link>http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/fe938b74b8364e6eace1a03b00c51b73#fe938b74b8364e6eace1a03b00c51b73</link>
		<pubDate>Sun, 22 Apr 2012 11:57:38 GMT</pubDate>
		<guid isPermaLink="false">http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/fe938b74b8364e6eace1a03b00c51b73#fe938b74b8364e6eace1a03b00c51b73</guid>
		<dc:creator>Vesuvius</dc:creator>
		<slash:comments>17</slash:comments>
		<wfw:commentRss>http://channel9.msdn.com/Niners/vesuvius/Discussions/RSS</wfw:commentRss>
	</item>
	<item>
		<title>Coffeehouse - Machine Learning</title>
		<description><![CDATA[<p>@<a href="/Forums/Coffeehouse/Machine-Learning#cfe938b74b8364e6eace1a03b00c51b73">vesuvius</a>: It's a free course (video lectures &#43; auto-graded quizzes and programming assignments) - there is no real college credit or anything associated with it though, so if you're looking for something like that you'd have to look elsewhere, but it's a good way to learn the material I think.</p>]]></description>
		<link>http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/21c8ff38097d47a58a72a03b00cf8cab#21c8ff38097d47a58a72a03b00cf8cab</link>
		<pubDate>Sun, 22 Apr 2012 12:35:39 GMT</pubDate>
		<guid isPermaLink="false">http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/21c8ff38097d47a58a72a03b00cf8cab#21c8ff38097d47a58a72a03b00cf8cab</guid>
		<dc:creator>contextfree`</dc:creator>
		<slash:comments>17</slash:comments>
		<wfw:commentRss>http://channel9.msdn.com/Niners/contextfree`/Discussions/RSS</wfw:commentRss>
	</item>
	<item>
		<title>Coffeehouse - Machine Learning</title>
		<description><![CDATA[<p>@<a href="/Forums/Coffeehouse/Machine-Learning#c21c8ff38097d47a58a72a03b00cf8cab">contextfree`</a>: Even better, I am not really bothered about college credits, as they no longer mean anything in my career</p>]]></description>
		<link>http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/bc4c68a9126647719b7da03b00d47c90#bc4c68a9126647719b7da03b00d47c90</link>
		<pubDate>Sun, 22 Apr 2012 12:53:38 GMT</pubDate>
		<guid isPermaLink="false">http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/bc4c68a9126647719b7da03b00d47c90#bc4c68a9126647719b7da03b00d47c90</guid>
		<dc:creator>Vesuvius</dc:creator>
		<slash:comments>17</slash:comments>
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	<item>
		<title>Coffeehouse - Machine Learning</title>
		<description><![CDATA[<p>What was that early .NET game where you would write code representing insects and the bugs would duke it out across the internet?</p><p>-Josh</p>]]></description>
		<link>http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/7d4d6e75814a46ac8c7ca03b00dd1313#7d4d6e75814a46ac8c7ca03b00dd1313</link>
		<pubDate>Sun, 22 Apr 2012 13:24:54 GMT</pubDate>
		<guid isPermaLink="false">http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/7d4d6e75814a46ac8c7ca03b00dd1313#7d4d6e75814a46ac8c7ca03b00dd1313</guid>
		<dc:creator>Joshua Ross</dc:creator>
		<slash:comments>17</slash:comments>
		<wfw:commentRss>http://channel9.msdn.com/Niners/Jsoh/Discussions/RSS</wfw:commentRss>
	</item>
	<item>
		<title>Coffeehouse - Machine Learning</title>
		<description><![CDATA[<p></p><blockquote><div class="quoteText"><p></p><p><a class="permalink" title="Post Permalink" href="/Forums/Coffeehouse/Machine-Learning/7d4d6e75814a46ac8c7ca03b00dd1313">42 minutes&nbsp;ago</a>, <a href="/Niners/JoshRoss">JoshRoss</a> wrote</p><p>What was that early .NET game where you would write code representing insects and the bugs would duke it out across the internet?</p><p>-Josh</p><p></p></div></blockquote><p></p><p>Terrarium!&nbsp; I got a travel mug from MS for that.</p>]]></description>
		<link>http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/b21a763d7101485bbfc1a03b00e9180c#b21a763d7101485bbfc1a03b00e9180c</link>
		<pubDate>Sun, 22 Apr 2012 14:08:40 GMT</pubDate>
		<guid isPermaLink="false">http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/b21a763d7101485bbfc1a03b00e9180c#b21a763d7101485bbfc1a03b00e9180c</guid>
		<dc:creator>Richard Anthony Hein</dc:creator>
		<slash:comments>17</slash:comments>
		<wfw:commentRss>http://channel9.msdn.com/Niners/Richard.Hein/Discussions/RSS</wfw:commentRss>
	</item>
	<item>
		<title>Coffeehouse - Machine Learning</title>
		<description><![CDATA[<p>@<a href="/Forums/Coffeehouse/Machine-Learning#cb21a763d7101485bbfc1a03b00e9180c">Richard.Hein</a>: Yes! It looks like there is a <a href="http://terrarium2.codeplex.com/">Terraium2</a>. I'm going to have to spin that one up.&nbsp;</p><p>EDIT: It doesn't seem to work in Windows8, even after installing the 2.0 version of the .NET framework.</p><p>-Josh</p>]]></description>
		<link>http://channel9.msdn.com/Forums/Coffeehouse/Machine-Learning/d282afb6d2a4419ba99ca03b00f74e44#d282afb6d2a4419ba99ca03b00f74e44</link>
		<pubDate>Sun, 22 Apr 2012 15:00:24 GMT</pubDate>
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		<dc:creator>Joshua Ross</dc:creator>
		<slash:comments>17</slash:comments>
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