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    <title>algorithms - Updating SVD decomposition after adding one new row to the matrix - Cross Validated</title>
    <dc:date>2018-01-19T17:32:49+00:00</dc:date>
    <link>https://stats.stackexchange.com/questions/177007/updating-svd-decomposition-after-adding-one-new-row-to-the-matrix</link>
    <dc:creator>timcowlishaw</dc:creator><dc:subject>svd update recommandations onlinelearning online learning machinelearning datascience</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:timcowlishaw/b:74d94d4b78e2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:svd"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:update"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:recommandations"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:onlinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:online"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:datascience"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://medium.com/@blaisea/do-algorithms-reveal-sexual-orientation-or-just-expose-our-stereotypes-d998fafdf477">
    <title>Do algorithms reveal sexual orientation or just expose our stereotypes?</title>
    <dc:date>2018-01-14T09:14:50+00:00</dc:date>
    <link>https://medium.com/@blaisea/do-algorithms-reveal-sexual-orientation-or-just-expose-our-stereotypes-d998fafdf477</link>
    <dc:creator>timcowlishaw</dc:creator><dc:subject>lgbtq learning fairness machinelearning ai fatml psi gender sociology culture society sexuality identity</dc:subject>
<dc:identifier>https://pinboard.in/u:timcowlishaw/b:e3334e25787c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:lgbtq"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:fairness"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:fatml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:psi"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:gender"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:sociology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:culture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:society"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:sexuality"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:identity"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://medium.com/@jbriselli/those-who-can-t-6e86687a92be">
    <title>Those Who Can’t – Jen Briselli – Medium</title>
    <dc:date>2017-12-03T15:10:55+00:00</dc:date>
    <link>https://medium.com/@jbriselli/those-who-can-t-6e86687a92be</link>
    <dc:creator>timcowlishaw</dc:creator><description><![CDATA[Cognitive apprenticeship is an approach that teachers use to design learning experiences for reflective learners. Consider the value in replacing every instance of the word “learner” above with the word “user,” and challenge yourself to imagine whatever you’re designing as if it were a learning experience with a cognitive apprenticeship approach.
Questions to ask when applying this lens to design:
►What types of interactions will encourage reflection and conscious internalization of our users’ experience? How can we create the right environment for, (and build prompts that trigger), awareness and reflection without frustrating the user?
►How can we make it ok for users to sometimes struggle or fail and help them find immediate success following those moments?
►How do we enable users to succeed, and help them become aware of their success?
►What might accretion, transmission, acquisition, and emergence look like for our users? What’s the most appropriate or relevant domain for the experience I’m designing?
►How can aspects of this product/interface/experience stand in as a mentor, as if our users were part of a cognitive apprenticeship?
►How might this product/interface/experience support modeling, coaching, scaffolding, articulation, reflection, and exploration?
►What would Dewey & Heidegger do? (WWDHD?)
]]></description>
<dc:subject>education design ux teaching theory experience learning psychology philosophy dewey heidegger papert technology agency</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:timcowlishaw/b:293e16c9b450/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:ux"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:teaching"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:experience"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:psychology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:philosophy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:dewey"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:heidegger"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:papert"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:technology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:agency"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://carlvondrick.com/active/">
    <title>Video Annotation and Tracking with Active Learning</title>
    <dc:date>2017-11-16T13:58:34+00:00</dc:date>
    <link>http://carlvondrick.com/active/</link>
    <dc:creator>timcowlishaw</dc:creator><dc:subject>videoannotation video annotation activelearning active learning machinelearning crowdsourcing</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:timcowlishaw/b:367d8d33cf64/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:videoannotation"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:annotation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:activelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:active"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:crowdsourcing"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://blog.conceptnet.io/2017/04/24/conceptnet-numberbatch-17-04-better-less-stereotyped-word-vectors/">
    <title>ConceptNet Numberbatch 17.04: better, less-stereotyped word vectors – ConceptNet blog</title>
    <dc:date>2017-10-02T11:38:24+00:00</dc:date>
    <link>https://blog.conceptnet.io/2017/04/24/conceptnet-numberbatch-17-04-better-less-stereotyped-word-vectors/</link>
    <dc:creator>timcowlishaw</dc:creator><description><![CDATA[I wonder if the excessive focus on Mikolov et al.’s analogy evaluation has exacerbated the problem. When a system is asked repeatedly to make analogies of the form male word : female word :: other male word : other female word, and it’s evaluated on this and its knowledge of geography and not much else, is it any surprise that we end up with systems that amplify stereotypes that distinguish women and men?]]></description>
<dc:subject>wordembeddings debiasing nlp word2vec machinelearning machine learning computerscience bias racism sexism</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:timcowlishaw/b:dddc29c7b593/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:word2vec"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:machine"/>
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</item>
<item rdf:about="https://blog.conceptnet.io/2017/07/13/how-to-make-a-racist-ai-without-really-trying/">
    <title>How to make a racist AI without really trying – ConceptNet blog</title>
    <dc:date>2017-10-02T11:31:27+00:00</dc:date>
    <link>https://blog.conceptnet.io/2017/07/13/how-to-make-a-racist-ai-without-really-trying/</link>
    <dc:creator>timcowlishaw</dc:creator><dc:subject>bias sentimentanalysis wordembeddings machinelearning ml sentiment analysis machine learning racism society politics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:timcowlishaw/b:115fa73392dc/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:ml"/>
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</item>
<item rdf:about="https://p5js.org/">
    <title>p5.js | home</title>
    <dc:date>2017-05-06T14:17:24+00:00</dc:date>
    <link>https://p5js.org/</link>
    <dc:creator>timcowlishaw</dc:creator><dc:subject>processing art javascript programming browser web visualisation learning education</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:timcowlishaw/b:4e8263ac6c53/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:processing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:art"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:javascript"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:browser"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:web"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:visualisation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:education"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://blog.keras.io/building-autoencoders-in-keras.html">
    <title>Building Autoencoders in Keras</title>
    <dc:date>2017-05-03T07:02:11+00:00</dc:date>
    <link>https://blog.keras.io/building-autoencoders-in-keras.html</link>
    <dc:creator>timcowlishaw</dc:creator><dc:subject>machinelearning keras learning deeplearning neuralnetwork autoencoder featurelearning</dc:subject>
<dc:identifier>https://pinboard.in/u:timcowlishaw/b:5bc977422a18/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:keras"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:deeplearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:neuralnetwork"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:autoencoder"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:featurelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://neuralnetworksanddeeplearning.com/chap4.html">
    <title>Neural networks and deep learning</title>
    <dc:date>2017-04-15T09:57:50+00:00</dc:date>
    <link>http://neuralnetworksanddeeplearning.com/chap4.html</link>
    <dc:creator>timcowlishaw</dc:creator><dc:subject>neuralnetwork ai learning mathematics deeplearning theory machinelearning visualisation universality proof</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:timcowlishaw/b:4e88e39b392f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:neuralnetwork"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:ai"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:deeplearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:visualisation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:universality"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:proof"/>
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</item>
<item rdf:about="http://sociologicalimagination.org/archives/19236">
    <title>» The Technology of Intellectual Work The Sociological Imagination</title>
    <dc:date>2017-04-11T11:35:55+00:00</dc:date>
    <link>http://sociologicalimagination.org/archives/19236</link>
    <dc:creator>timcowlishaw</dc:creator><description><![CDATA[In 1988 Pierre Bourdieu chaired a commission reviewing the curriculum at the behest of the minister of national education. The scope of the review was broad, encompassing a revision of subjects taught in order to strengthen the coherence and unity of the curriculum as a whole. In order to inform this work, the commission early on formulated principles to guide their endeavour, each of which were then expanded into more substantive observations concerning their implications.

One of these stood out to me as of great contemporary relevance for the social sciences in the digital university. Their principle considers those “ways of thinking or fundamental know-how that, assumed to be taught by everyone, end up not being taught by anyone”. In other words, what are the elements of educational practice which are integral to it and how can we assure their succesful transmission in training? These include “fundamental ways of thinking” such as “deduction, experiment, and the historical approach, as well as reflective and critical thinking which should always be combined with the foregoing” and “the specific character of the experimental way of thinking”, “a resolute valuation of qualitative reasoning”, a clear recognition of the provisional nature of explanatory models” and “ongoing training in the practical work of research”. It extends this discussion to the technologies used in practice:]]></description>
<dc:subject>tecjnology practice learning research scholarship sociology culture</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:timcowlishaw/b:7bf8a743f4ff/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:sociology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:culture"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://sociologicalimagination.org/archives/19210">
    <title>» The Technology of Intellectual Work The Sociological Imagination</title>
    <dc:date>2017-03-27T07:23:40+00:00</dc:date>
    <link>http://sociologicalimagination.org/archives/19210</link>
    <dc:creator>timcowlishaw</dc:creator><dc:subject>techologies academia learning sociology research philosophy</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:timcowlishaw/b:b2ba58c9e04f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:techologies"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:academia"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:learning"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:philosophy"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://sebastianruder.com/optimizing-gradient-descent/index.html#hogwild">
    <title>An overview of gradient descent optimization algorithms</title>
    <dc:date>2017-02-28T16:59:06+00:00</dc:date>
    <link>http://sebastianruder.com/optimizing-gradient-descent/index.html#hogwild</link>
    <dc:creator>timcowlishaw</dc:creator><dc:subject>machinelearning computerscience optimisation gradientdescent sgd adagrad adadelta adaptive mathematics gradient descent machine learning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:timcowlishaw/b:03e6860d02e8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:computerscience"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:optimisation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:gradientdescent"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:sgd"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:adagrad"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:adadelta"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:adaptive"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:gradient"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:descent"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:machine"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://ccrma.stanford.edu/~jos/">
    <title>JOS Home Page</title>
    <dc:date>2017-02-28T11:18:50+00:00</dc:date>
    <link>https://ccrma.stanford.edu/~jos/</link>
    <dc:creator>timcowlishaw</dc:creator><dc:subject>jos juliusosmith math dsp books mathematics music audio digital signalprocessing computerscience sound book education learning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:timcowlishaw/b:a4eedbf51013/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:jos"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:juliusosmith"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:dsp"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:music"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:audio"/>
	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:digital"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:timcowlishaw/t:learning"/>
</rdf:Bag></taxo:topics>
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