<?xml version="1.0" encoding="UTF-8"?>
 <rdf:RDF xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:cc="http://web.resource.org/cc/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:admin="http://webns.net/mvcb/">
  <channel rdf:about="http://pinboard.in">
    <title>Pinboard (lsdr)</title>
    <link>https://pinboard.in/u:lsdr/public/</link>
    <description>recent bookmarks from lsdr</description>
    <items>
      <rdf:Seq>	<rdf:li rdf:resource="https://medium.com/turo-engineering/how-not-to-use-random-forest-265a19a68576"/>
	<rdf:li rdf:resource="http://archagon.net/blog/2018/09/03/good-spirits-persisting-data-statelessly/"/>
	<rdf:li rdf:resource="http://www.fast.ai/2018/08/07/hbr-bias-algorithms/"/>
	<rdf:li rdf:resource="http://www.benfrederickson.com/approximate-nearest-neighbours-for-recommender-systems/"/>
	<rdf:li rdf:resource="https://www.computer.org/csdl/mags/ic/2017/03/mic2017030012.html"/>
	<rdf:li rdf:resource="http://www.cleveralgorithms.com/nature-inspired/index.html"/>
	<rdf:li rdf:resource="http://multithreaded.stitchfix.com/blog/2016/05/27/lda2vec/#topic=38&amp;lambda=1&amp;term="/>
	<rdf:li rdf:resource="https://medium.com/hacking-and-gonzo/how-hacker-news-ranking-algorithm-works-1d9b0cf2c08d#.ddvyzu6vq"/>
	<rdf:li rdf:resource="http://blog.markshead.com/869/state-machines-computer-science/"/>
	<rdf:li rdf:resource="http://techjaw.com/2015/02/11/10-machine-learning-lessons-harnessed-by-netflix/"/>
	<rdf:li rdf:resource="http://crockpotveggies.com/2015/02/09/automating-tinder-with-eigenfaces.html"/>
	<rdf:li rdf:resource="http://sebastianraschka.com/Articles/2014_pca_step_by_step.html"/>
	<rdf:li rdf:resource="http://harry.me/blog/2014/12/27/neat-algorithms-paxos/"/>
	<rdf:li rdf:resource="http://www.autonlab.org/tutorials/"/>
	<rdf:li rdf:resource="http://jmlr.org/papers/v15/delgado14a.html"/>
	<rdf:li rdf:resource="http://spin.atomicobject.com/2014/09/03/visualizing-garbage-collection-algorithms/"/>
	<rdf:li rdf:resource="http://www.mmds.org/"/>
	<rdf:li rdf:resource="http://www.erogol.com/how-can-the-various-machine-learning-algorithms-be-classifiedsummarized-according-to-the-problems-they-solve/"/>
	<rdf:li rdf:resource="http://setosa.io/blog/2014/07/26/markov-chains/index.html"/>
	<rdf:li rdf:resource="http://bost.ocks.org/mike/algorithms/"/>
	<rdf:li rdf:resource="http://ml.posthaven.com/machine-learning-done-wrong"/>
	<rdf:li rdf:resource="http://home.comcast.net/~tom.fawcett/public_html/ML-gallery/pages/"/>
	<rdf:li rdf:resource="http://bigocheatsheet.com/"/>
	<rdf:li rdf:resource="http://xlinux.nist.gov/dads/"/>
	<rdf:li rdf:resource="http://aimotion.blogspot.co.uk/2013/01/machine-learning-and-data-mining.html"/>
	<rdf:li rdf:resource="http://furious-waterfall-55.heroku.com/ruby-guide/internals/gc.html"/>
	<rdf:li rdf:resource="http://jite.informingscience.org/documents/Vol11/JITEv11IIPp353-376Panovics1174.pdf"/>
	<rdf:li rdf:resource="http://charlesleifer.com/blog/using-python-and-k-means-to-find-the-dominant-colors-in-images/"/>
	<rdf:li rdf:resource="http://kmike.ru/python-data-structures/"/>
	<rdf:li rdf:resource="http://developmentality.wordpress.com/2012/05/30/solving-scramble-with-friends-a-tale-of-three-data-structures/"/>
	<rdf:li rdf:resource="http://anand.typepad.com/datawocky/2008/03/more-data-usual.html"/>
	<rdf:li rdf:resource="http://www.ted.com/talks/lang/eng/kevin_slavin_how_algorithms_shape_our_world.html"/>
	<rdf:li rdf:resource="http://www.evanmiller.org/how-not-to-sort-by-average-rating.html"/>
	<rdf:li rdf:resource="http://www.slideshare.net/m4xl1n/machine-learning-on-big-data-7455889"/>
	<rdf:li rdf:resource="http://cleveralgorithms.com/nature-inspired/index.html"/>
	<rdf:li rdf:resource="http://www.informatics.sussex.ac.uk/research/groups/nlp/gazdar/nlp-in-lisp/"/>
	<rdf:li rdf:resource="http://www.brpreiss.com/books/opus7/"/>
	<rdf:li rdf:resource="http://www.catonmat.net/blog/category/introduction-to-algorithms/"/>
	<rdf:li rdf:resource="http://www.scriptol.org/list-of-algorithms.html"/>
	<rdf:li rdf:resource="http://blog.bjrn.se/2008/01/truecrypt-explained.html"/>
	<rdf:li rdf:resource="http://projecteuler.net/"/>
	<rdf:li rdf:resource="http://aima.cs.berkeley.edu/"/>
      </rdf:Seq>
    </items>
  </channel><item rdf:about="https://medium.com/turo-engineering/how-not-to-use-random-forest-265a19a68576">
    <title>How not to use Random Forests</title>
    <dc:date>2019-08-08T17:48:53+00:00</dc:date>
    <link>https://medium.com/turo-engineering/how-not-to-use-random-forest-265a19a68576</link>
    <dc:creator>lsdr</dc:creator><dc:subject>reference data_science algorithms ml random_forests</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:9a49888dfbee/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:reference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:data_science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:random_forests"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://archagon.net/blog/2018/09/03/good-spirits-persisting-data-statelessly/">
    <title>Good Spirits: Syncing Data Statelessly</title>
    <dc:date>2018-09-10T02:39:59+00:00</dc:date>
    <link>http://archagon.net/blog/2018/09/03/good-spirits-persisting-data-statelessly/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>data algorithms replication data-structures event-log event architecture</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:48977e645302/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:replication"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:data-structures"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:event-log"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:event"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:architecture"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.fast.ai/2018/08/07/hbr-bias-algorithms/">
    <title>What HBR Gets Wrong About Algorithms and Bias</title>
    <dc:date>2018-08-19T01:07:06+00:00</dc:date>
    <link>http://www.fast.ai/2018/08/07/hbr-bias-algorithms/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>ai ml algorithms</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:301550f88443/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.benfrederickson.com/approximate-nearest-neighbours-for-recommender-systems/">
    <title>Approximate Nearest Neighbours for Recommender Systems</title>
    <dc:date>2017-10-21T12:53:48+00:00</dc:date>
    <link>http://www.benfrederickson.com/approximate-nearest-neighbours-for-recommender-systems/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>recommenders algorithms references</dc:subject>
<dc:identifier>https://pinboard.in/u:lsdr/b:2d43c12d1a45/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:recommenders"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:references"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.computer.org/csdl/mags/ic/2017/03/mic2017030012.html">
    <title>Two Decades of Recommender Systems at Amazon.com</title>
    <dc:date>2017-08-14T00:47:04+00:00</dc:date>
    <link>https://www.computer.org/csdl/mags/ic/2017/03/mic2017030012.html</link>
    <dc:creator>lsdr</dc:creator><dc:subject>recommenders ai amazon ux algorithms papers</dc:subject>
<dc:identifier>https://pinboard.in/u:lsdr/b:581f02563d25/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:recommenders"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:amazon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ux"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:papers"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cleveralgorithms.com/nature-inspired/index.html">
    <title>Clever Algorithms: Nature-Inspired Programming Recipes | Table of Contents</title>
    <dc:date>2017-08-10T23:21:04+00:00</dc:date>
    <link>http://www.cleveralgorithms.com/nature-inspired/index.html</link>
    <dc:creator>lsdr</dc:creator><dc:subject>algorithms references books</dc:subject>
<dc:identifier>https://pinboard.in/u:lsdr/b:bd8e72b09dc4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:references"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:books"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://multithreaded.stitchfix.com/blog/2016/05/27/lda2vec/#topic=38&amp;lambda=1&amp;term=">
    <title>Introducing our Hybrid lda2vec Algorithm</title>
    <dc:date>2016-10-24T03:13:04+00:00</dc:date>
    <link>http://multithreaded.stitchfix.com/blog/2016/05/27/lda2vec/#topic=38&amp;lambda=1&amp;term=</link>
    <dc:creator>lsdr</dc:creator><dc:subject>nlp algorithms text-processing</dc:subject>
<dc:identifier>https://pinboard.in/u:lsdr/b:16f43187804b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:text-processing"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://medium.com/hacking-and-gonzo/how-hacker-news-ranking-algorithm-works-1d9b0cf2c08d#.ddvyzu6vq">
    <title>How Hacker News ranking algorithm works — Hacking and Gonzo — Medium</title>
    <dc:date>2016-08-09T03:44:41+00:00</dc:date>
    <link>https://medium.com/hacking-and-gonzo/how-hacker-news-ranking-algorithm-works-1d9b0cf2c08d#.ddvyzu6vq</link>
    <dc:creator>lsdr</dc:creator><dc:subject>ranking algorithms recommenders programming</dc:subject>
<dc:identifier>https://pinboard.in/u:lsdr/b:03b62cf37450/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ranking"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:recommenders"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.markshead.com/869/state-machines-computer-science/">
    <title>State Machines – Basics of Computer Science — Mark Shead</title>
    <dc:date>2015-05-26T13:50:55+00:00</dc:date>
    <link>http://blog.markshead.com/869/state-machines-computer-science/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>algorithms programming state_machines cs basics reference</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:6b93f22888aa/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:state_machines"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:cs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:basics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:reference"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://techjaw.com/2015/02/11/10-machine-learning-lessons-harnessed-by-netflix/">
    <title>10 Machine Learning Lessons Harnessed By Netflix | Techjaw</title>
    <dc:date>2015-02-22T03:32:09+00:00</dc:date>
    <link>http://techjaw.com/2015/02/11/10-machine-learning-lessons-harnessed-by-netflix/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>netflix data algorithms ml tips</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:71d0e864cc37/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:netflix"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:tips"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://crockpotveggies.com/2015/02/09/automating-tinder-with-eigenfaces.html">
    <title>Automating Tinder with Eigenfaces</title>
    <dc:date>2015-02-13T12:21:05+00:00</dc:date>
    <link>http://crockpotveggies.com/2015/02/09/automating-tinder-with-eigenfaces.html</link>
    <dc:creator>lsdr</dc:creator><dc:subject>algorithms automation ml humanity dating fun robots</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:e804383b215b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:automation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:humanity"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:dating"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:fun"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:robots"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://sebastianraschka.com/Articles/2014_pca_step_by_step.html">
    <title>Principal Component Analysis step by step</title>
    <dc:date>2015-02-03T12:57:34+00:00</dc:date>
    <link>http://sebastianraschka.com/Articles/2014_pca_step_by_step.html</link>
    <dc:creator>lsdr</dc:creator><dc:subject>analysis ml python stats pca algorithms</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:0a61f325a080/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:stats"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:pca"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://harry.me/blog/2014/12/27/neat-algorithms-paxos/">
    <title>Detailed and animated explanation of the Paxos algorithm</title>
    <dc:date>2015-01-08T16:28:38+00:00</dc:date>
    <link>http://harry.me/blog/2014/12/27/neat-algorithms-paxos/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>algorithms distributed systems paxos consensus _share</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:83ce34bc208f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:distributed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:systems"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:paxos"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:consensus"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:_share"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.autonlab.org/tutorials/">
    <title>Statistical Data Mining Tutorials</title>
    <dc:date>2014-12-07T22:40:38+00:00</dc:date>
    <link>http://www.autonlab.org/tutorials/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>algorithms datamining statistics tutorial ml</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:fcbb000377c0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:tutorial"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ml"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://jmlr.org/papers/v15/delgado14a.html">
    <title>Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?</title>
    <dc:date>2014-12-01T12:44:51+00:00</dc:date>
    <link>http://jmlr.org/papers/v15/delgado14a.html</link>
    <dc:creator>lsdr</dc:creator><dc:subject>ml algorithms classifier papers ai</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:d9cdce277828/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:classifier"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:papers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ai"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://spin.atomicobject.com/2014/09/03/visualizing-garbage-collection-algorithms/">
    <title>Visualizing Garbage Collection Algorithms</title>
    <dc:date>2014-09-08T18:56:13+00:00</dc:date>
    <link>http://spin.atomicobject.com/2014/09/03/visualizing-garbage-collection-algorithms/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>algorithms gc visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:ba6ab279e3e5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:gc"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.mmds.org/">
    <title>Mining of Massive Datasets</title>
    <dc:date>2014-09-08T18:48:07+00:00</dc:date>
    <link>http://www.mmds.org/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>algorithms academic bigdata courses books free</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:269c0c4079e2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:academic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:courses"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:books"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:free"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.erogol.com/how-can-the-various-machine-learning-algorithms-be-classifiedsummarized-according-to-the-problems-they-solve/">
    <title>How can the various machine learning algorithms be classified/summarized according to the problems they solve?</title>
    <dc:date>2014-08-04T20:36:02+00:00</dc:date>
    <link>http://www.erogol.com/how-can-the-various-machine-learning-algorithms-be-classifiedsummarized-according-to-the-problems-they-solve/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>ml reference algorithms</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:992e6f1e5f63/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:reference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://setosa.io/blog/2014/07/26/markov-chains/index.html">
    <title>Markov Chains</title>
    <dc:date>2014-07-30T12:52:01+00:00</dc:date>
    <link>http://setosa.io/blog/2014/07/26/markov-chains/index.html</link>
    <dc:creator>lsdr</dc:creator><dc:subject>algorithms math programming visualization markov</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:e66b0d401253/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:math"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:markov"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://bost.ocks.org/mike/algorithms/">
    <title>Visualizing Algorithms</title>
    <dc:date>2014-06-29T03:13:18+00:00</dc:date>
    <link>http://bost.ocks.org/mike/algorithms/</link>
    <dc:creator>lsdr</dc:creator><description><![CDATA[Visualizing Algorithms :  ]]></description>
<dc:subject>programming algorithms visualization cool</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:81177dd159a2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:cool"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://ml.posthaven.com/machine-learning-done-wrong">
    <title>Machine Learning Done Wrong - ML in the Valley</title>
    <dc:date>2014-06-06T03:33:07+00:00</dc:date>
    <link>http://ml.posthaven.com/machine-learning-done-wrong</link>
    <dc:creator>lsdr</dc:creator><dc:subject>ml algorithms statistics tips</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:e11b40b856b1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:tips"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://home.comcast.net/~tom.fawcett/public_html/ML-gallery/pages/">
    <title>Machine Learning Classifier Gallery</title>
    <dc:date>2013-06-26T18:03:07+00:00</dc:date>
    <link>http://home.comcast.net/~tom.fawcett/public_html/ML-gallery/pages/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>ai ml classifier cool algorithms visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:1b7ace986e42/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:classifier"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:cool"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://bigocheatsheet.com/">
    <title>Big-O Algorithm Complexity Cheat Sheet</title>
    <dc:date>2013-05-06T02:05:11+00:00</dc:date>
    <link>http://bigocheatsheet.com/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>algorithms cheatsheet programming reference</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:01254080756a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:cheatsheet"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:reference"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://xlinux.nist.gov/dads/">
    <title>Dictionary of Algorithms and Data Structures</title>
    <dc:date>2013-04-11T17:20:08+00:00</dc:date>
    <link>http://xlinux.nist.gov/dads/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>algorithms data programming reference _share</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:0844740a20ba/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:reference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:_share"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://aimotion.blogspot.co.uk/2013/01/machine-learning-and-data-mining.html">
    <title>Artificial Intelligence in Motion: Machine learning and Data Mining - Association Analysis with Python</title>
    <dc:date>2013-02-11T00:17:44+00:00</dc:date>
    <link>http://aimotion.blogspot.co.uk/2013/01/machine-learning-and-data-mining.html</link>
    <dc:creator>lsdr</dc:creator><dc:subject>ai algorithms python programming machine learning ml data datamining _share</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:f5d6390c1410/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:machine"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:_share"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://furious-waterfall-55.heroku.com/ruby-guide/internals/gc.html">
    <title>Rare Are GC Talks</title>
    <dc:date>2013-01-21T03:52:45+00:00</dc:date>
    <link>http://furious-waterfall-55.heroku.com/ruby-guide/internals/gc.html</link>
    <dc:creator>lsdr</dc:creator><dc:subject>programming gc collection algorithms compilers</dc:subject>
<dc:identifier>https://pinboard.in/u:lsdr/b:7de01adf390f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:gc"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:collection"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:compilers"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://jite.informingscience.org/documents/Vol11/JITEv11IIPp353-376Panovics1174.pdf">
    <title>A Functional Programming Approach to AI Search Algorithms</title>
    <dc:date>2012-11-19T21:53:12+00:00</dc:date>
    <link>http://jite.informingscience.org/documents/Vol11/JITEv11IIPp353-376Panovics1174.pdf</link>
    <dc:creator>lsdr</dc:creator><dc:subject>programming functional ai design search algorithms papers</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:e8f43ba5c15c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:functional"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:search"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:papers"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://charlesleifer.com/blog/using-python-and-k-means-to-find-the-dominant-colors-in-images/">
    <title>charles leifer | Using python and k-means to find the dominant colors in images</title>
    <dc:date>2012-10-30T21:22:11+00:00</dc:date>
    <link>http://charlesleifer.com/blog/using-python-and-k-means-to-find-the-dominant-colors-in-images/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>algorithms python programming statistics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:5f9db487e03f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://kmike.ru/python-data-structures/">
    <title>Fast Non-Standard Data Structures for Python</title>
    <dc:date>2012-09-08T00:24:20+00:00</dc:date>
    <link>http://kmike.ru/python-data-structures/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>algorithms data python programming</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:9ba2e5cb3401/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://developmentality.wordpress.com/2012/05/30/solving-scramble-with-friends-a-tale-of-three-data-structures/">
    <title>Solving Scramble With Friends – a tale of three data structures « Developmentality</title>
    <dc:date>2012-06-03T16:01:20+00:00</dc:date>
    <link>http://developmentality.wordpress.com/2012/05/30/solving-scramble-with-friends-a-tale-of-three-data-structures/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>data programming python ai search-tree algorithms pathfinding</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:0c1fc450cc26/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:search-tree"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:pathfinding"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://anand.typepad.com/datawocky/2008/03/more-data-usual.html">
    <title>More data usually beats better algorithms</title>
    <dc:date>2012-02-22T11:47:16+00:00</dc:date>
    <link>http://anand.typepad.com/datawocky/2008/03/more-data-usual.html</link>
    <dc:creator>lsdr</dc:creator><dc:subject>algorithms data datamining programming machine learning ai search</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:9e9f5f933516/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:machine"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:search"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.ted.com/talks/lang/eng/kevin_slavin_how_algorithms_shape_our_world.html">
    <title>Kevin Slavin: How algorithms shape our world | Video on TED.com</title>
    <dc:date>2011-10-21T01:36:17+00:00</dc:date>
    <link>http://www.ted.com/talks/lang/eng/kevin_slavin_how_algorithms_shape_our_world.html</link>
    <dc:creator>lsdr</dc:creator><dc:subject>hackathon algorithms video</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:c789dd2bce0a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:hackathon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:video"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.evanmiller.org/how-not-to-sort-by-average-rating.html">
    <title>How Not To Sort By Average Rating</title>
    <dc:date>2011-08-16T18:53:32+00:00</dc:date>
    <link>http://www.evanmiller.org/how-not-to-sort-by-average-rating.html</link>
    <dc:creator>lsdr</dc:creator><dc:subject>algorithms math programming statistics web search recommending</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:fa32f2a0b1ca/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:math"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:web"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:search"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:recommending"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.slideshare.net/m4xl1n/machine-learning-on-big-data-7455889">
    <title>Machine Learning in Big Data</title>
    <dc:date>2011-08-10T21:59:19+00:00</dc:date>
    <link>http://www.slideshare.net/m4xl1n/machine-learning-on-big-data-7455889</link>
    <dc:creator>lsdr</dc:creator><description><![CDATA[great presentation.. Lessons learned from Machine Learning projects at Google @ ]]></description>
<dc:subject>bigdata machine learning algorithms programming ai</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:89a611ec4359/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:machine"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ai"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://cleveralgorithms.com/nature-inspired/index.html">
    <title>Clever Algorithms: Nature-Inspired Programming Recipes</title>
    <dc:date>2011-04-11T00:13:07+00:00</dc:date>
    <link>http://cleveralgorithms.com/nature-inspired/index.html</link>
    <dc:creator>lsdr</dc:creator><dc:subject>algorithms programming ebooks books</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:dd120f9f106e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:ebooks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:books"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.informatics.sussex.ac.uk/research/groups/nlp/gazdar/nlp-in-lisp/">
    <title>Natural Language Processing in Lisp</title>
    <dc:date>2010-08-24T18:56:03+00:00</dc:date>
    <link>http://www.informatics.sussex.ac.uk/research/groups/nlp/gazdar/nlp-in-lisp/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>lisp programming algorithms nlp text-processing books</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:lsdr/b:63295a1a9517/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:lisp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:text-processing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:books"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.brpreiss.com/books/opus7/">
    <title>Data Structures and Algorithms with Object-Oriented Design Patterns in Python</title>
    <dc:date>2009-07-11T22:13:49+00:00</dc:date>
    <link>http://www.brpreiss.com/books/opus7/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>programming python algorithms books patterns design data structure</dc:subject>
<dc:identifier>https://pinboard.in/u:lsdr/b:43787e9a2f3b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:books"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:patterns"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:structure"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.catonmat.net/blog/category/introduction-to-algorithms/">
    <title>Introduction to Algorithms - good coders code, great reuse</title>
    <dc:date>2008-11-28T09:05:05+00:00</dc:date>
    <link>http://www.catonmat.net/blog/category/introduction-to-algorithms/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>programming articles algorithms mit notes lectures</dc:subject>
<dc:identifier>https://pinboard.in/u:lsdr/b:2474160ce043/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:articles"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:mit"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:notes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:lectures"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.scriptol.org/list-of-algorithms.html">
    <title>List of all algorithms, classified by purpose</title>
    <dc:date>2008-11-01T14:34:13+00:00</dc:date>
    <link>http://www.scriptol.org/list-of-algorithms.html</link>
    <dc:creator>lsdr</dc:creator><dc:subject>programming reference algorithms</dc:subject>
<dc:identifier>https://pinboard.in/u:lsdr/b:18651664867b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:reference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.bjrn.se/2008/01/truecrypt-explained.html">
    <title>TrueCrypt explained</title>
    <dc:date>2008-01-09T21:55:48+00:00</dc:date>
    <link>http://blog.bjrn.se/2008/01/truecrypt-explained.html</link>
    <dc:creator>lsdr</dc:creator><dc:subject>algorithms python security encryption</dc:subject>
<dc:identifier>https://pinboard.in/u:lsdr/b:0c08c908676b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:security"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:encryption"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://projecteuler.net/">
    <title>Project Euler</title>
    <dc:date>2007-12-31T15:21:14+00:00</dc:date>
    <link>http://projecteuler.net/</link>
    <dc:creator>lsdr</dc:creator><description><![CDATA[Project Euler is a series of challenging mathematical/computer programming problems that will require more than just mathematical insights to solve.
]]></description>
<dc:subject>algorithms programming math fun</dc:subject>
<dc:identifier>https://pinboard.in/u:lsdr/b:7971d48188a8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:math"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:fun"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://aima.cs.berkeley.edu/">
    <title>Artificial Intelligence: A Modern Approach</title>
    <dc:date>2007-09-19T22:15:39+00:00</dc:date>
    <link>http://aima.cs.berkeley.edu/</link>
    <dc:creator>lsdr</dc:creator><dc:subject>books lisp python algorithms programming</dc:subject>
<dc:identifier>https://pinboard.in/u:lsdr/b:b8580bdf583a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:books"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:lisp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:lsdr/t:programming"/>
</rdf:Bag></taxo:topics>
</item>
</rdf:RDF>