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    <title>2025: The year in LLMs</title>
    <dc:date>2026-01-01T18:12:02+00:00</dc:date>
    <link>https://simonwillison.net/2025/Dec/31/the-year-in-llms/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[It's been a crazy year, and Simon's AI recap is my favorite.]]></description>
<dc:subject>artificial-intelligence machinelearning ai article blog</dc:subject>
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<item rdf:about="https://conductor.build/">
    <title>Conductor</title>
    <dc:date>2025-10-20T11:20:14+00:00</dc:date>
    <link>https://conductor.build/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>gui coding ai development programming</dc:subject>
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<item rdf:about="https://n8n.io/">
    <title>(Saving...) Powerful Workflow Automation Software &amp; Tools - n8n</title>
    <dc:date>2025-06-16T07:09:51+00:00</dc:date>
    <link>https://n8n.io/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>workflow automation integration productivity tool ai free api opensource tools open-source</dc:subject>
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    <title>Project Aardvark: reimagining AI weather prediction | The Alan Turing Institute</title>
    <dc:date>2025-06-15T14:39:36+00:00</dc:date>
    <link>https://www.turing.ac.uk/blog/project-aardvark-reimagining-ai-weather-prediction</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>links weather ai science</dc:subject>
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    <title>The Day Anubis Saved Our Websites From a DDoS Attack</title>
    <dc:date>2025-05-04T15:33:22+00:00</dc:date>
    <link>https://fabulous.systems/posts/2025/05/anubis-saved-our-websites-from-a-ddos-attack/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Neat. Adding to my toolbox.]]></description>
<dc:subject>ddos attack network ai load-balacning</dc:subject>
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<item rdf:about="https://blog.cloudflare.com/cloudflare-acquires-outerbase-database-dx/">
    <title>Cloudflare acquires Outerbase to expand database and agent developer experience capabilities</title>
    <dc:date>2025-04-08T15:59:49+00:00</dc:date>
    <link>https://blog.cloudflare.com/cloudflare-acquires-outerbase-database-dx/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Acquisition. Definitely need to play with Starbase more.]]></description>
<dc:subject>database sqlite ai cdn</dc:subject>
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<item rdf:about="https://www.outerbase.com/">
    <title>Outerbase | The interface for your database</title>
    <dc:date>2025-04-08T15:59:14+00:00</dc:date>
    <link>https://www.outerbase.com/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Doing stuff with databases.]]></description>
<dc:subject>database ai query</dc:subject>
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    <title>MIREX Wiki</title>
    <dc:date>2025-01-19T20:10:48+00:00</dc:date>
    <link>https://www.music-ir.org/mirex/wiki/MIREX_HOME</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A music-oriented information retrieval challenge.]]></description>
<dc:subject>conference machinelearning analysis ai music</dc:subject>
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    <title>AI Founder's Bitter Lesson. Chapter 2 - No Power | Lukas Petersson's blog</title>
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    <link>https://lukaspetersson.com/blog/2025/power-vertical/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[I've definitely seen horizontal AI products go from incompetent to beating vertical AI solutions basically overnight.]]></description>
<dc:subject>ai machine-learning llm business</dc:subject>
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<item rdf:about="https://lukaspetersson.com/blog/2025/bitter-vertical/">
    <title>AI founders will learn The Bitter Lesson | Lukas Petersson</title>
    <dc:date>2025-01-19T17:44:42+00:00</dc:date>
    <link>https://lukaspetersson.com/blog/2025/bitter-vertical/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[I feel like we've seen anecdotal evidence of this.]]></description>
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<item rdf:about="https://www.semafor.com/article/01/15/2025/replit-ceo-on-ai-breakthroughs-we-dont-care-about-professional-coders-anymore">
    <title>Replit CEO on AI breakthroughs: ‘We don’t care about professional coders anymore’ | Semafor</title>
    <dc:date>2025-01-19T15:27:25+00:00</dc:date>
    <link>https://www.semafor.com/article/01/15/2025/replit-ceo-on-ai-breakthroughs-we-dont-care-about-professional-coders-anymore</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[The interesting thing here is that advancements have outpaced Replit's internal efforts but they've managed to win in the market due to sheer speed of execution.]]></description>
<dc:subject>coding ai development programming</dc:subject>
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<item rdf:about="https://www.axios.com/2025/01/19/ai-superagent-openai-meta">
    <title>Ph.D.-level AI super-agent breakthrough expected very soon</title>
    <dc:date>2025-01-19T15:18:50+00:00</dc:date>
    <link>https://www.axios.com/2025/01/19/ai-superagent-openai-meta</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Things are getting good quickly.]]></description>
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<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://www.nplusonemag.com/issue-49/essays/casual-viewing/">
    <title>Casual Viewing | Issue 49 | n+1 | Will Tavlin</title>
    <dc:date>2025-01-11T15:46:41+00:00</dc:date>
    <link>https://www.nplusonemag.com/issue-49/essays/casual-viewing/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Streaming has changed many things.]]></description>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:film"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:movies"/>
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</item>
<item rdf:about="https://github.com/OpenSPG/KAG">
    <title>OpenSPG/KAG: KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&amp;A solutions for professional domain knowledge bases. It can effectively overcome the shortcom</title>
    <dc:date>2025-01-11T15:29:42+00:00</dc:date>
    <link>https://github.com/OpenSPG/KAG</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model."]]></description>
<dc:subject>language ai python programming</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:d7d31dd36cbc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:language"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:python"/>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://zohaib.me/using-llms-and-cursor-for-finishing-projects-productivity/">
    <title>Using LLMs and Cursor to become a finisher</title>
    <dc:date>2025-01-11T15:13:22+00:00</dc:date>
    <link>https://zohaib.me/using-llms-and-cursor-for-finishing-projects-productivity/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Boils down to increasing productivity and getting past bumps that might have previously slowed down or caused a dev to lose interest.]]></description>
<dc:subject>color links productivity coding ai software programming</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:e990c1bdf277/</dc:identifier>
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</item>
<item rdf:about="https://nmn.gl/blog/ai-senior-developer">
    <title>The day I taught AI to read code like a Senior Developer | N’s Blog</title>
    <dc:date>2025-01-11T15:10:58+00:00</dc:date>
    <link>https://nmn.gl/blog/ai-senior-developer</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Breaking the problem down in to the same steps a senior dev might take.]]></description>
<dc:subject>ai architecture dev toread code software development programming</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:d3ea6d6c17c2/</dc:identifier>
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<item rdf:about="https://crawshaw.io/blog/programming-with-llms">
    <title>crawshaw - 2025-01-06</title>
    <dc:date>2025-01-11T15:03:53+00:00</dc:date>
    <link>https://crawshaw.io/blog/programming-with-llms</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>bestpractices essay go advice blogs golang productivity tips coding ai dev</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:b65cdd6329f4/</dc:identifier>
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<item rdf:about="https://github.com/browserbase/stagehand">
    <title>browserbase/stagehand: An AI web browsing framework focused on simplicity and extensibility.</title>
    <dc:date>2025-01-11T14:58:46+00:00</dc:date>
    <link>https://github.com/browserbase/stagehand</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[State of the art in browser automation?]]></description>
<dc:subject>scraping automation github ml browser ai opensource tools code software</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:43651122be5b/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:automation"/>
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<item rdf:about="https://sagipolaczek.github.io/NeuralSVG/">
    <title>NeuralSVG</title>
    <dc:date>2025-01-10T20:25:57+00:00</dc:date>
    <link>https://sagipolaczek.github.io/NeuralSVG/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Handles both shapes and sketch strokes – which could be very interesting in the plotter context.]]></description>
<dc:subject>deep-learning vector svg awesome image ai pen plotter</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:7defb385bc93/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:deep-learning"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:svg"/>
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</item>
<item rdf:about="https://github.com/google-research/timesfm">
    <title>google-research/timesfm: TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.</title>
    <dc:date>2024-05-08T18:08:37+00:00</dc:date>
    <link>https://github.com/google-research/timesfm</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>machine-learning artificial-intelligence ai timeseries</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:1e30165d980e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:artificial-intelligence"/>
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<item rdf:about="https://alexgarcia.xyz/blog/2024/building-new-vector-search-sqlite/index.html">
    <title>I'm writing a new vector search SQLite Extension | Alex Garcia's Blog</title>
    <dc:date>2024-05-05T00:11:43+00:00</dc:date>
    <link>https://alexgarcia.xyz/blog/2024/building-new-vector-search-sqlite/index.html</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>ai c database ml sqlite</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:be727bd60c07/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ml"/>
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</item>
<item rdf:about="https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/">
    <title>What Is ChatGPT Doing … and Why Does It Work?—Stephen Wolfram Writings</title>
    <dc:date>2023-05-22T14:02:12+00:00</dc:date>
    <link>https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>ai chatgpt ml machine-learning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:a9b8aab9e452/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:chatgpt"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
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</item>
<item rdf:about="https://www.hpc-ai.tech/blog/colossal-ai-chatgpt">
    <title>Open source solution replicates ChatGPT training process! Ready to go with only 1.6GB GPU memory and gives you 7.73 times faster training!</title>
    <dc:date>2023-02-20T09:30:00+00:00</dc:date>
    <link>https://www.hpc-ai.tech/blog/colossal-ai-chatgpt</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>ai opensource</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:8bdcff762e79/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
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</item>
<item rdf:about="https://www.mage.ai/?ref=producthunt">
    <title>The fastest way to build and use AI | Mage</title>
    <dc:date>2022-03-18T14:25:06+00:00</dc:date>
    <link>https://www.mage.ai/?ref=producthunt</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>ai ml</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:a47a3b68f7be/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ml"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.dataengineering.academy/pipeline-data-engineering-academy-blog/learn-data-engineering-on-a-shoestring-free-courses">
    <title>Become A Better Data Engineer On A Shoestring (More Free Resources) — Pipeline Data Engineering Academy</title>
    <dc:date>2022-02-25T13:16:19+00:00</dc:date>
    <link>https://www.dataengineering.academy/pipeline-data-engineering-academy-blog/learn-data-engineering-on-a-shoestring-free-courses</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[This looks like a really good list!]]></description>
<dc:subject>ai data learning data-engineering</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:637682bc483c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data-engineering"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://tryolabs.com/blog/2020/04/02/swift-googles-bet-on-differentiable-programming/">
    <title>Swift: Google's bet on differentiable programming | Tryolabs Blog</title>
    <dc:date>2020-04-10T05:40:30+00:00</dc:date>
    <link>https://tryolabs.com/blog/2020/04/02/swift-googles-bet-on-differentiable-programming/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>swift machinelearning ai python programming</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:da1214d5de7a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:swift"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://magenta.tensorflow.org/drumbot">
    <title>DrumBot: your real-time ML drummer</title>
    <dc:date>2019-12-17T16:16:39+00:00</dc:date>
    <link>https://magenta.tensorflow.org/drumbot</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>browser ai music</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:f25bf8dd7c03/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:browser"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:music"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://towardsdatascience.com/ai-architecture-f9d78c6958e0">
    <title>AI &amp; Architecture - Towards Data Science</title>
    <dc:date>2019-09-03T04:52:42+00:00</dc:date>
    <link>https://towardsdatascience.com/ai-architecture-f9d78c6958e0</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Mind. Blown. GANs for generating floorplans.]]></description>
<dc:subject>gan generators ai architecture design</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:4ead11f1ffc8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:gan"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:generators"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:architecture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:design"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://blog.openai.com/gym-retro/">
    <title>Gym Retro</title>
    <dc:date>2018-05-29T13:59:17+00:00</dc:date>
    <link>https://blog.openai.com/gym-retro/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>machine learning ai games</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:38e61138470e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:games"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.johnemmons.com/post/awslambdaface/">
    <title>AWSLambdaFace: serverless face recognition</title>
    <dc:date>2017-10-19T15:46:48+00:00</dc:date>
    <link>http://blog.johnemmons.com/post/awslambdaface/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Sos your face?]]></description>
<dc:subject>ai machine-learning aws</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:aae816e56449/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:aws"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.rle.mit.edu/eems/wp-content/uploads/2017/06/ISCA-2017-Hardware-Architectures-for-DNN-Tutorial.pdf">
    <title>Hardware Architectures for Deep Neural Networks</title>
    <dc:date>2017-09-07T13:55:32+00:00</dc:date>
    <link>http://www.rle.mit.edu/eems/wp-content/uploads/2017/06/ISCA-2017-Hardware-Architectures-for-DNN-Tutorial.pdf</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>cnn cv ai architecture</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:f350678818bf/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cnn"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:architecture"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://hackernoon.com/learning-path-for-machine-learning-engineer-a7d5dc9de4a4">
    <title>How To Become A Machine Learning Engineer: Learning Path</title>
    <dc:date>2017-08-28T14:45:55+00:00</dc:date>
    <link>https://hackernoon.com/learning-path-for-machine-learning-engineer-a7d5dc9de4a4</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>articles machinelearning ai machine-learning artificial-intelligence</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:d283a534d81a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:articles"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:artificial-intelligence"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.slideshare.net/anirudhkoul/squeezing-deep-learning-into-mobile-phones">
    <title>Squeezing Deep Learning Into Mobile Phones</title>
    <dc:date>2017-03-20T14:34:59+00:00</dc:date>
    <link>https://www.slideshare.net/anirudhkoul/squeezing-deep-learning-into-mobile-phones</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[This is a great deck on the things you can to to strip down trained models for running on mobile platforms.]]></description>
<dc:subject>neuralnetworks frameworks mobile ai ml machine-learning artificial-intelligence</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:be3bdbd98e7f/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mobile"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:artificial-intelligence"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning/">
    <title>A 'Brief' History of Neural Nets and Deep Learning, Part 1 – Andrey Kurenkov's Web World</title>
    <dc:date>2017-03-13T14:31:20+00:00</dc:date>
    <link>http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>machinelearning machine-learning ai history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:e66fecfd23cf/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://concept.research.microsoft.com/Home/Introduction">
    <title>Microsoft Concept Graph and Concept Tagging Release</title>
    <dc:date>2016-11-02T13:23:40+00:00</dc:date>
    <link>https://concept.research.microsoft.com/Home/Introduction</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>concept nlp microsoft ai machine-learning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:aa4d92f0fb92/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:concept"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:microsoft"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://medium.com/backchannel/google-brains-co-inventor-tells-why-hes-building-chinese-neural-networks-662d03a8b548">
    <title>Google Brain’s Co-Inventor Tells Why He’s Building Chinese Neural Networks — Backchannel — Medium</title>
    <dc:date>2015-02-03T17:11:49+00:00</dc:date>
    <link>https://medium.com/backchannel/google-brains-co-inventor-tells-why-hes-building-chinese-neural-networks-662d03a8b548</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Dispatches from the future.]]></description>
<dc:subject>brain interview ml ai</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:ae61bf5e79fe/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:brain"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:interview"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ml"/>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://numericinsight.blogspot.com/2014/07/a-gentle-introduction-to-backpropagation.html">
    <title>The Numerical and Insightful Blog: A Gentle Introduction to Backpropagation</title>
    <dc:date>2014-09-16T13:45:14+00:00</dc:date>
    <link>http://numericinsight.blogspot.com/2014/07/a-gentle-introduction-to-backpropagation.html</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>machine-learning machinelearning ai algorithms</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:f6bc4c83526e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithms"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://googleresearch.blogspot.com/2014/09/building-deeper-understanding-of-images.html">
    <title>Building a deeper understanding of images | Research Blog</title>
    <dc:date>2014-09-08T13:40:48+00:00</dc:date>
    <link>http://googleresearch.blogspot.com/2014/09/building-deeper-understanding-of-images.html</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>ar images ai research google</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:d46defd8568c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ar"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:images"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:google"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://danielnouri.org/notes/2014/01/10/using-deep-learning-to-listen-for-whales/">
    <title>Using deep learning to listen for whales — Daniel Nouri's Blog</title>
    <dc:date>2014-01-10T15:30:10+00:00</dc:date>
    <link>http://danielnouri.org/notes/2014/01/10/using-deep-learning-to-listen-for-whales/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[An interesting look at applying fairly well known machine learning techniques.]]></description>
<dc:subject>machine learning machine-learning deep deep-learning ai</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:24d5a68522f9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:deep"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:deep-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.technologyreview.com/view/523326/how-google-cracked-house-number-identification-in-street-view/">
    <title>How Google Cracked House Number Identification in Street View | MIT Technology Review</title>
    <dc:date>2014-01-09T15:16:14+00:00</dc:date>
    <link>http://www.technologyreview.com/view/523326/how-google-cracked-house-number-identification-in-street-view/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Looking at numbers, finding the 95% solution.]]></description>
<dc:subject>ai computers google machinelearning neural</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:259fa7b479a5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:neural"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.wired.com/wiredenterprise/2013/12/facebook-yann-lecun-qa/">
    <title>Facebook's 'Deep Learning' Guru Reveals the Future of AI | Wired Enterprise | Wired.com</title>
    <dc:date>2013-12-13T15:09:07+00:00</dc:date>
    <link>http://www.wired.com/wiredenterprise/2013/12/facebook-yann-lecun-qa/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>ai article future Facebook machine-learning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:b1174a2e28ae/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:future"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:Facebook"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://neuralnetworksanddeeplearning.com/chap1.html">
    <title>Neural networks and deep learning</title>
    <dc:date>2013-12-10T15:25:10+00:00</dc:date>
    <link>http://neuralnetworksanddeeplearning.com/chap1.html</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>ai book machine learning neural machine-learning ml aritificial-intelligence</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:f09e797396f2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:book"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:neural"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:aritificial-intelligence"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cv-foundation.org/openaccess/CVPR2013.py">
    <title>CVPR 2013 Open Access Repository</title>
    <dc:date>2013-12-10T15:24:01+00:00</dc:date>
    <link>http://www.cv-foundation.org/openaccess/CVPR2013.py</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[More CV proceedings.]]></description>
<dc:subject>cv computer-vision artificial-intelligence ai machine-learning ml</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:ba58502e756e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cv"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computer-vision"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:artificial-intelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ml"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cv-foundation.org/openaccess/ICCV2013.py">
    <title>ICCV 2013 Open Access Repository</title>
    <dc:date>2013-12-10T15:23:34+00:00</dc:date>
    <link>http://www.cv-foundation.org/openaccess/ICCV2013.py</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Computer Vision proceedings.]]></description>
<dc:subject>cv computer-vision ai artificial-intelligence</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:0b007c92f7b9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cv"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computer-vision"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:artificial-intelligence"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://nips.cc/Conferences/2013/">
    <title>NIPS : Conferences : 2013</title>
    <dc:date>2013-12-10T15:11:10+00:00</dc:date>
    <link>https://nips.cc/Conferences/2013/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[NIPS stuff to be read later.]]></description>
<dc:subject>machine-learning ai artificial-intelligence</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:6202bf7b1f09/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:artificial-intelligence"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://insideintercom.io/machine-learning-way-easier-than-it-looks/">
    <title>Machine learning is way easier than it looks | Inside Intercom</title>
    <dc:date>2013-11-21T02:37:14+00:00</dc:date>
    <link>http://insideintercom.io/machine-learning-way-easier-than-it-looks/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>ai computers learning machine machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:bcf66fcde756/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://markus.com/deep-learning-101/">
    <title>Deep Learning 101</title>
    <dc:date>2013-11-15T16:02:30+00:00</dc:date>
    <link>http://markus.com/deep-learning-101/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Fantastic super high level intro to what deep learning is all about.]]></description>
<dc:subject>ai machine-learning machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:ea21d4b17d7c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.utexas.edu/news/2013/09/12/machine-learning-wearable-cameras-stories/">
    <title>Researchers Use Machine Learning to Boil Down the Stories that Wearable Cameras Are Telling | News</title>
    <dc:date>2013-09-16T10:57:09+00:00</dc:date>
    <link>http://www.utexas.edu/news/2013/09/12/machine-learning-wearable-cameras-stories/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[summarizing a days worth of video content.]]></description>
<dc:subject>computer-science machine-learning artificial-intelligence ai</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:738479550a30/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computer-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:artificial-intelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://g33ktalk.com/peter-norvig-learning-programming/">
    <title>Peter Norvig - Learning Programming » Open source software engineering developer community and events</title>
    <dc:date>2013-07-07T18:44:12+00:00</dc:date>
    <link>http://g33ktalk.com/peter-norvig-learning-programming/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Norvig on learning and teaching and machine learning.]]></description>
<dc:subject>education norvig ai machine-learning learning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:3c63813d9de3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:education"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:norvig"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.kickstarter.com/projects/jeffheaton/artificial-intelligence-for-humans-vol-1-fund-algo">
    <title>Artificial Intelligence for Humans, Vol 1: Fund. Algorithms by Jeff Heaton — Kickstarter</title>
    <dc:date>2013-06-11T17:35:39+00:00</dc:date>
    <link>http://www.kickstarter.com/projects/jeffheaton/artificial-intelligence-for-humans-vol-1-fund-algo</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Ground up fundamental AI algorithms, working through the scary maths as you go.]]></description>
<dc:subject>kickstarter book ebook wishlist ai artificial-intelligence machine-learning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:946c2601daad/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:kickstarter"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:book"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ebook"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:wishlist"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:artificial-intelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cs.utexas.edu/~mhauskn/papers/atari.pdf">
    <title>www.cs.utexas.edu/~mhauskn/papers/atari.pdf</title>
    <dc:date>2013-06-10T14:31:58+00:00</dc:date>
    <link>http://www.cs.utexas.edu/~mhauskn/papers/atari.pdf</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Atari and AI.]]></description>
<dc:subject>ai machine-learning artificial-intelligence</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:f36b5cfdf70c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:artificial-intelligence"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial">
    <title>UFLDL Tutorial - Ufldl</title>
    <dc:date>2013-05-28T16:32:50+00:00</dc:date>
    <link>http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["This tutorial will teach you the main ideas of Unsupervised Feature Learning and Deep Learning. By working through it, you will also get to implement several feature learning/deep learning algorithms, get to see them work for yourself, and learn how to apply/adapt these ideas to new problems."]]></description>
<dc:subject>ai machine-learning machinelearning ml tutorial deep-learning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:a7b4fab7e174/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tutorial"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:deep-learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://jeremydhoon.github.com/2013/03/19/abusing-hash-kernels-for-wildly-unprincipled-machine-learning/">
    <title>Abusing hash kernels for wildly unprincipled machine learning</title>
    <dc:date>2013-04-03T23:32:38+00:00</dc:date>
    <link>http://jeremydhoon.github.com/2013/03/19/abusing-hash-kernels-for-wildly-unprincipled-machine-learning/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>ai data machine-learning machinelearning python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:1f390b2fdfb1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:python"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://m.io9.com/5940036/how-copyright-enforcement-robots-killed-the-hugo-awards">
    <title>How copyright enforcement robots killed the Hugo Awards</title>
    <dc:date>2012-09-03T18:35:59+00:00</dc:date>
    <link>http://m.io9.com/5940036/how-copyright-enforcement-robots-killed-the-hugo-awards</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[laugh then cry.]]></description>
<dc:subject>robot ai future science fiction science-fiction</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:c0d9c5e0e069/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:robot"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:fiction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:science-fiction"/>
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</item>
<item rdf:about="http://research.google.com/pubs/pub38115.html">
    <title>Building high-level features using large scale unsupervised learning</title>
    <dc:date>2012-06-28T14:52:16+00:00</dc:date>
    <link>http://research.google.com/pubs/pub38115.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[The paper.  A good read.]]></description>
<dc:subject>machine-learning article ai computer google</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:ebda7d7e2aa7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computer"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:google"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.explainmydata.com/2012/06/ntrain-24853-ntest-25147-ncorrupt.html">
    <title>data data everywhere: Which classifiers are fast enough for exploring medium-sized data?</title>
    <dc:date>2012-06-25T16:27:07+00:00</dc:date>
    <link>http://blog.explainmydata.com/2012/06/ntrain-24853-ntest-25147-ncorrupt.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A roundup and general performance info of several classifiers.]]></description>
<dc:subject>ml machinelearning ai algorithms performance</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:042e43037e59/</dc:identifier>
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</item>
<item rdf:about="http://www.umiacs.umd.edu/~jimmylin/publications/Lin_Kolcz_SIGMOD2012.pdf">
    <title>Large-Scale Machine Learning at Twitter</title>
    <dc:date>2012-06-18T08:53:47+00:00</dc:date>
    <link>http://www.umiacs.umd.edu/~jimmylin/publications/Lin_Kolcz_SIGMOD2012.pdf</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>ai machinelearning twitter machine-learning computer science computer-science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:ad15236afab4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:twitter"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computer"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computer-science"/>
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</item>
<item rdf:about="http://holehouse.org/mlclass/">
    <title>Machine Learning - complete course notes</title>
    <dc:date>2012-01-10T01:49:03+00:00</dc:date>
    <link>http://holehouse.org/mlclass/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[seems like a solid course.]]></description>
<dc:subject>ai education learning machinelearning stanford</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:10f6829345ff/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:stanford"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml">
    <title>Machine Learning 10-701/15-781: Lectures</title>
    <dc:date>2011-11-07T04:04:01+00:00</dc:date>
    <link>http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Grad-level AI course material fromoe of the other giants in AI.]]></description>
<dc:subject>ai course courses learning machine-learning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:1a73355abc2b/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://ccl.northwestern.edu/netlogo/index.shtml">
    <title>NetLogo Home Page</title>
    <dc:date>2011-08-10T03:22:44+00:00</dc:date>
    <link>http://ccl.northwestern.edu/netlogo/index.shtml</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["NetLogo is a multi-agent programmable modeling environment."]]></description>
<dc:subject>ai education java logo programming</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:cd6e716515de/</dc:identifier>
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</item>
<item rdf:about="http://morepypy.blogspot.com/2011/07/realtime-image-processing-in-python.html">
    <title>PyPy Status Blog: Realtime image processing in Python</title>
    <dc:date>2011-07-18T14:46:11+00:00</dc:date>
    <link>http://morepypy.blogspot.com/2011/07/realtime-image-processing-in-python.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Speed.]]></description>
<dc:subject>ai image imageprocessing pypy python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:09297720d028/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:image"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:imageprocessing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:pypy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:python"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://research.microsoft.com/en-us/um/people/cmbishop/prml/">
    <title>Christopher M. Bishop</title>
    <dc:date>2011-04-28T17:47:49+00:00</dc:date>
    <link>http://research.microsoft.com/en-us/um/people/cmbishop/prml/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[The companion site for Pattern Recognition and Machine Learning.]]></description>
<dc:subject>ai learning machine-learning computer-science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:e4e3fbb43d1e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computer-science"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cleveralgorithms.com/">
    <title>Clever Algorithms</title>
    <dc:date>2011-02-02T06:17:09+00:00</dc:date>
    <link>http://www.cleveralgorithms.com/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Someday I'll write a book about algorithms inspired by pants.]]></description>
<dc:subject>ai algorithms book programming ruby</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:a19e7e0ef065/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:book"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ruby"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.stephenwolfram.com/2010/11/programming-with-natural-language-is-actually-going-to-work/">
    <title>Stephen Wolfram Blog : Programming with Natural Language Is Actually Going to Work</title>
    <dc:date>2010-11-23T04:06:35+00:00</dc:date>
    <link>http://blog.stephenwolfram.com/2010/11/programming-with-natural-language-is-actually-going-to-work/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>ai architecture articles blogger computerscience computing cs libraries language interface history future english dsl demo natural nlp programming programming-languages read wolfram mathematica natural_language</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:6ab2ba73def2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:architecture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:articles"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:blogger"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computerscience"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:future"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:english"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:dsl"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:demo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:natural"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming-languages"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:wolfram"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mathematica"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:natural_language"/>
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</item>
<item rdf:about="http://nlpwp.org/book/">
    <title>Natural Language Processing for the Working Programmer</title>
    <dc:date>2010-11-16T03:06:52+00:00</dc:date>
    <link>http://nlpwp.org/book/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[NLP and Haskell.
]]></description>
<dc:subject>ai algorithms algorithm artificialintelligence book books cs language introduction haskell free ebook development machine-learning machinelearning mathematics natural programming processing natural-language-processing nlp tech todo toread tutorial languageprocessing later naturallanguage</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:f580030f3266/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:artificialintelligence"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:books"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cs"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:introduction"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:free"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:development"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mathematics"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:processing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:natural-language-processing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tech"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:todo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:toread"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tutorial"/>
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</item>
<item rdf:about="http://www.cs.cmu.edu/~tom/mlbook-chapter-slides.html">
    <title>Machine Learning textbook slides</title>
    <dc:date>2010-11-01T17:06:03+00:00</dc:date>
    <link>http://www.cs.cmu.edu/~tom/mlbook-chapter-slides.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Great slides as companion to the book and classes built around it.
]]></description>
<dc:subject>classifier ai artificial-intelligence bayesian book books intelligence datamining courses machine computer class learning lectures machine-learning machinelearning tutorial science slides resources reference ml mitchell</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:b6465c8c2244/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:artificial-intelligence"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:book"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:intelligence"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:courses"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computer"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:class"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:lectures"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tutorial"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:resources"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:reference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mitchell"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://ai-depot.com/articles/the-easy-way-to-extract-useful-text-from-arbitrary-html/">
    <title>The Easy Way to Extract Useful Text from Arbitrary HTML - AI Depot</title>
    <dc:date>2010-09-21T15:16:30+00:00</dc:date>
    <link>http://ai-depot.com/articles/the-easy-way-to-extract-useful-text-from-arbitrary-html/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>algorithms content ai code crawler data datamining extract math machinelearning machine learning extraction html mining network parser parsing programming python scraping web useful tutorial tools textmining text-mining statistics</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:80ae0565fe67/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:content"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:code"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:crawler"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:extract"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:math"/>
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<item rdf:about="http://www.redcode.nl/blog/2010/06/creating-shazam-in-java/">
    <title>Creating Shazam in Java - Redcode</title>
    <dc:date>2010-09-18T04:57:19+00:00</dc:date>
    <link>http://www.redcode.nl/blog/2010/06/creating-shazam-in-java/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[I love it when simple works.
]]></description>
<dc:subject>ai algorithm android algorithms audio article internals interesting howto development dev detection iphone java music mp3 programación programming tutorial toread shazam song recognition fourier</dc:subject>
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<item rdf:about="http://www.risc.jku.at/people/ckoutsch/stuff/e_algorithms.html">
    <title>The Most Important Algorithms (Survey)</title>
    <dc:date>2010-07-08T00:57:50+00:00</dc:date>
    <link>http://www.risc.jku.at/people/ckoutsch/stuff/e_algorithms.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Yay.
]]></description>
<dc:subject>ai algorithm algorithms awesome best code computer.science compsci computer-science computer computerscience computing cs development education list lists math learning important interviewing howto mathematics programming reference science software survey toread</dc:subject>
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<item rdf:about="http://www.heatonresearch.com/content/non-mathematical-introduction-using-neural-networks">
    <title>A Non-Mathematical Introduction to Using Neural Networks | Heaton Research</title>
    <dc:date>2010-06-11T15:07:13+00:00</dc:date>
    <link>http://www.heatonresearch.com/content/non-mathematical-introduction-using-neural-networks</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[This looks like a good read.
]]></description>
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