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    <dc:creator>vielmetti</dc:creator><description><![CDATA[Russian-American novelist Vladimir Nobokov summed up the idea of fernweh quite nicely in his novel Mary, when he wrote: “Nostalgia in reverse, the longing for yet another strange land, grew especially strong in spring.”

]]></description>
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    <title>(6) Heikki Lunta - YouTube</title>
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    <title>(6) Steely Dan- FM (No Static At All) - YouTube</title>
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<item rdf:about="https://www.youtube.com/watch?v=YYOKMUTTDdA">
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<item rdf:about="https://www.wikiwand.com/en/Switch_(INXS_album)">
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<item rdf:about="https://www.everlance.com/blog/motorcycle-mileage-rate-deduction/">
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<item rdf:about="https://www.bbc.com/news/technology-49565587">
    <title>Hong Kong protesters using Bluetooth Bridgefy app - BBC News</title>
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<item rdf:about="https://w8rp.org/">
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<item rdf:about="https://devopsish.com/144/">
    <title>144: Your 39 bps matters, happy little hybrid clouds, Kubernetes with a side of service mesh, HA SQLite, and more</title>
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    <link>https://devopsish.com/144/</link>
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<item rdf:about="https://33bits.wordpress.com/about/">
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    <link>https://33bits.wordpress.com/about/</link>
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<item rdf:about="https://www.raspberrypi.org/downloads/raspbian/">
    <title>Download Raspbian for Raspberry Pi</title>
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    <link>https://www.raspberrypi.org/downloads/raspbian/</link>
    <dc:creator>vielmetti</dc:creator><dc:subject>raspbian raspberrypi linux</dc:subject>
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<dc:identifier>https://pinboard.in/u:vielmetti/b:1ee6273844f7/</dc:identifier>
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<item rdf:about="https://orangeamps.com/">
    <title>Orange Amps – British Guitar Amps</title>
    <dc:date>2019-09-08T14:16:36+00:00</dc:date>
    <link>https://orangeamps.com/</link>
    <dc:creator>vielmetti</dc:creator><dc:subject>aadl musictools</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:45bdecd2687d/</dc:identifier>
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<item rdf:about="https://reverb.com/p/orange-cr3-micro-crush-pix-3w-guitar-combo?gclid=Cj0KCQjwqs3rBRCdARIsADe1pfSFY43Io1uyCzMjdXa5nKH9FMCffg_mzQ_cvrlYvFHNibFw2kFrHzkaAhOEEALw_wcB&amp;gclsrc=aw.ds&amp;hfid=18098787&amp;merchant_id=122815801">
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    <dc:creator>vielmetti</dc:creator><description><![CDATA[as borrowed from AADL]]></description>
<dc:subject>aadl musictools</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:25942020164f/</dc:identifier>
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<item rdf:about="https://manualzz.com/doc/24454361/esp-mr17-upbeat-mini-mushroom-bluetooth-speaker">
    <title>ESP-MR17 Upbeat Mini Mushroom Bluetooth Speaker | manualzz.com</title>
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    <dc:creator>vielmetti</dc:creator><description><![CDATA[trade show mini mushroom speaker]]></description>
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<item rdf:about="https://fccid.io/2ABHA0024/User-Manual/User-Manual-3483716">
    <title>0024 Cloth Bluetooth Speaker User Manual NINGBO CSTAR IMP&amp;EXP;</title>
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    <link>https://fccid.io/2ABHA0024/User-Manual/User-Manual-3483716</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[trade show speaker]]></description>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:3c9a80e8736b/</dc:identifier>
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<item rdf:about="https://developers.redhat.com/rhel8/getrhel8/">
    <title>Get RHEL 8 Beta | Red Hat Developer</title>
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    <link>https://developers.redhat.com/rhel8/getrhel8/</link>
    <dc:creator>vielmetti</dc:creator><dc:subject>rhel8 redhat</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:57670bbb0b89/</dc:identifier>
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<item rdf:about="https://arxiv.org/abs/1811.10154">
    <title>[1811.10154] Please Stop Explaining Black Box Models for High Stakes Decisions</title>
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    <link>https://arxiv.org/abs/1811.10154</link>
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]]></description>
<dc:subject>ai ml machine-learning cynthia-rudin</dc:subject>
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<dc:identifier>https://pinboard.in/u:vielmetti/b:efa153b878d9/</dc:identifier>
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<item rdf:about="http://adsabs.harvard.edu/abs/2018arXiv181110154R">
    <title>Please Stop Explaining Black Box Models for High Stakes Decisions</title>
    <dc:date>2019-04-16T16:38:51+00:00</dc:date>
    <link>http://adsabs.harvard.edu/abs/2018arXiv181110154R</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[Please Stop Explaining Black Box Models for High Stakes Decisions
]]></description>
<dc:subject>cynthia-rudin ai ml machine-learning</dc:subject>
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<dc:identifier>https://pinboard.in/u:vielmetti/b:8534c74a27a4/</dc:identifier>
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<item rdf:about="https://users.cs.duke.edu/~cynthia/">
    <title>Cynthia Rudin</title>
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    <link>https://users.cs.duke.edu/~cynthia/</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[design of algorithms for interpretable machine learning]]></description>
<dc:subject>ai blog machine-learning</dc:subject>
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<item rdf:about="https://www.apress.com/us/book/9781430265986">
    <title>Data Scientists at Work | Sebastian Gutierrez | Apress</title>
    <dc:date>2019-04-15T20:48:41+00:00</dc:date>
    <link>https://www.apress.com/us/book/9781430265986</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of this hot new profession. "Data scientist is the sexiest job in the 21st century," according to the Harvard Business Review. By 2018, the United States will experience a shortage of 190,000 skilled data scientists, according to a McKinsey report.

]]></description>
<dc:subject>data-science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:c2b8fdf6262d/</dc:identifier>
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<item rdf:about="https://arxiv.org/pdf/1606.03490.pdf">
    <title>The Mythos of Model Interpretability</title>
    <dc:date>2019-04-15T20:48:01+00:00</dc:date>
    <link>https://arxiv.org/pdf/1606.03490.pdf</link>
    <dc:creator>vielmetti</dc:creator><dc:subject>data-science machine machinelearning ai</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:1dcbc860c24e/</dc:identifier>
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<item rdf:about="https://hackernoon.com/the-ai-hierarchy-of-needs-18f111fcc007">
    <title>The AI Hierarchy of Needs – Hacker Noon</title>
    <dc:date>2019-04-15T20:45:48+00:00</dc:date>
    <link>https://hackernoon.com/the-ai-hierarchy-of-needs-18f111fcc007</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[Think of AI as the top of a pyramid of needs. Yes, self-actualization (AI) is great, but you first need food, water and shelter (data literacy, collection and infrastructure).

]]></description>
<dc:subject>ai data design machinelearning data-science</dc:subject>
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<dc:identifier>https://pinboard.in/u:vielmetti/b:40f446f66a88/</dc:identifier>
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<item rdf:about="https://fasttransients.files.wordpress.com/2010/03/wilcox_people_ideas_things.pdf">
    <title>Wilcox_People_Ideas_Things.pages</title>
    <dc:date>2019-04-15T20:44:43+00:00</dc:date>
    <link>https://fasttransients.files.wordpress.com/2010/03/wilcox_people_ideas_things.pdf</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[People, Ideas, and Things in that Order: Some Observations]]></description>
<dc:subject>people john-boyd</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:a90c9a0116c3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:people"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:john-boyd"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://iurteaga.github.io/">
    <title>Iñigo Urteaga</title>
    <dc:date>2019-04-15T20:42:28+00:00</dc:date>
    <link>https://iurteaga.github.io/</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[I am an Associate Research Scientist in the Applied Math department at Columbia University and the Data Science Institute. I am currently working on descriptive, predictive, and prescriptive modeling for electronic health records, in collaboration with Prof. Chris Wiggins and Prof. Noémie Elhadad

]]></description>
<dc:subject>data-science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:3271f655a67c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:data-science"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://towardsdatascience.com/solving-multiarmed-bandits-a-comparison-of-epsilon-greedy-and-thompson-sampling-d97167ca9a50">
    <title>Solving multiarmed bandits: A comparison of epsilon-greedy and Thompson sampling</title>
    <dc:date>2019-04-15T20:40:45+00:00</dc:date>
    <link>https://towardsdatascience.com/solving-multiarmed-bandits-a-comparison-of-epsilon-greedy-and-thompson-sampling-d97167ca9a50</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[Solving multiarmed bandits: A comparison of epsilon-greedy and Thompson sampling
]]></description>
<dc:subject>thomson-sampling data-science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:d78dcf21f66b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:thomson-sampling"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:data-science"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://towardsdatascience.com/contextual-bandits-and-reinforcement-learning-6bdfeaece72a">
    <title>Contextual Bandits and Reinforcement Learning – Towards Data Science</title>
    <dc:date>2019-04-15T20:39:01+00:00</dc:date>
    <link>https://towardsdatascience.com/contextual-bandits-and-reinforcement-learning-6bdfeaece72a</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[Contextual Bandits and Reinforcement Learning
]]></description>
<dc:subject>data-science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:3ee0381539f8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:data-science"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://web.stanford.edu/class/psych209/Readings/MnihEtAlHassibis15NatureControlDeepRL.pdf">
    <title>Human-level control through deep reinforcement learning - nature14236.pdf</title>
    <dc:date>2019-04-15T20:38:32+00:00</dc:date>
    <link>https://web.stanford.edu/class/psych209/Readings/MnihEtAlHassibis15NatureControlDeepRL.pdf</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[The theory ofreinforcementlearning provides a normative account
1
,
deeply rooted in psychological
2 and neuroscientific3 perspectives on
animal behaviour, of how agents may optimize their control of an
environment.Touse reinforcementlearning successfully insituations
approaching real-world complexity, however, agents are confronted
with a difficulttask:they must derive efficientrepresentations ofthe
environment from high-dimensional sensory inputs, and use these
to generalize past experience tonewsituations.Remarkably, humans
and other animalsseem to solve this problem through a harmonious
combination ofreinforcementlearning andhierarchicalsensoryprocessing systems
4,5
, the former evidenced by a wealth of neural data
revealingnotableparallelsbetweenthe phasic signals emittedbydopaminergic neurons and temporal difference reinforcement learning
algorithms
3
.]]></description>
<dc:subject>deep-learning data-science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:29838e426a70/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:deep-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:data-science"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://dl.acm.org/citation.cfm?id=1557036">
    <title>Optimizing web traffic via the media scheduling problem</title>
    <dc:date>2019-04-15T20:35:40+00:00</dc:date>
    <link>https://dl.acm.org/citation.cfm?id=1557036</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[Website traffic varies through time in consistent and predictable ways, with highest traffic in the middle of the day. When providing media content to visitors, it is important to present repeat visitors with new content so that they keep coming back. In this paper we present an algorithm to balance the need to keep a website fresh with new content with the desire to present the best content to the most visitors at times of peak traffic. We formulate this as the media scheduling problem, where we attempt to maximize total clicks, given the overall traffic pattern and the time varying clickthrough rates of available media content. We present an efficient algorithm to perform this scheduling under certain conditions and apply this algorithm to real data obtained from server logs, showing evidence of significant improvements in traffic from our algorithmic schedules. Finally, we analyze the click data, presenting models for why and how the clickthrough rate for new content declines as it ages.

]]></description>
<dc:subject>data-science prediction timing</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:016ded1ba9e7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:data-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:prediction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:timing"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://projecteuclid.org/download/pdf_1/euclid.ss/1009213726">
    <title>1009213726</title>
    <dc:date>2019-04-15T20:26:51+00:00</dc:date>
    <link>https://projecteuclid.org/download/pdf_1/euclid.ss/1009213726</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[There are two cultures in the use of statistical modeling to
reach conclusions from data. One assumes that the data are generated
bya given stochastic data model. The other uses algorithmic models and
treats the data mechanism as unknown. The statistical communityhas
been committed to the almost exclusive use of data models. This commitment has led to irrelevant theory, questionable conclusions, and has kept
statisticians from working on a large range of interesting current problems. Algorithmic modeling, both in theoryand practice, has developed
rapidlyin fields outside statistics. It can be used both on large complex
data sets and as a more accurate and informative alternative to data
modeling on smaller data sets. If our goal as a field is to use data to
solve problems, then we need to move awayfrom exclusive dependence
on data models and adopt a more diverse set of tools.]]></description>
<dc:subject>statistics machinelearning data-science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:80d0ef07b526/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:data-science"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.erincoughlin.com/nyt-readerscope">
    <title>The New York Times Readerscope — Erin Coughlin</title>
    <dc:date>2019-04-15T20:24:30+00:00</dc:date>
    <link>https://www.erincoughlin.com/nyt-readerscope</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[Readerscope is a content strategy tool that enables marketer storytelling; identifying which topics are of most interest to target audiences. It uses machine learning to help The New York Times and its advertisers understand who is reading what, where.

]]></description>
<dc:subject>data-science nytimes readerscope</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:32befeff439b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:data-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:nytimes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:readerscope"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cs.columbia.edu/~blei/papers/WangBlei2011.pdf">
    <title>WangBlei2011.pdf</title>
    <dc:date>2019-04-15T20:23:22+00:00</dc:date>
    <link>http://www.cs.columbia.edu/~blei/papers/WangBlei2011.pdf</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[Collaborative Topic Modeling
for Recommending Scientific Articles]]></description>
<dc:subject>data-science recommender</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:eb7ee62422b1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:data-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:recommender"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://open.blogs.nytimes.com/2015/08/11/building-the-next-new-york-times-recommendation-engine/">
    <title>Building the Next New York Times Recommendation Engine - The New York Times</title>
    <dc:date>2019-04-15T20:22:24+00:00</dc:date>
    <link>https://open.blogs.nytimes.com/2015/08/11/building-the-next-new-york-times-recommendation-engine/</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[In this post, I’ll discuss our recent work revamping The New York Times’s article recommendation algorithm, which currently serves behind the Recommended for You section of NYTimes.com.

]]></description>
<dc:subject>data-science recommender</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:f9800380ecd9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:data-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:recommender"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.flickr.com/photos/27772229@N07/8267855748">
    <title>Gartner's analytic value escalator | According to the custom… | Flickr</title>
    <dc:date>2019-04-15T20:20:22+00:00</dc:date>
    <link>https://www.flickr.com/photos/27772229@N07/8267855748</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[According to the customer reference survey for the Gartner Magic Quadrant for BI platforms in 2012, organizations predominantly use BI technologies that measure the past with around one-third of organizations reporting extensive use of diagnostic capabilities for interactive visualization and online analytical processing . Only a small percentage of organizations (13%) currently report extensive use of predictive analytics. Moreover, Gartner estimates that an even smaller percentage of organizations (under 3%) use prescriptive capabilities such as decision/mathematical modelling, simulation and optimization. This trend is changing as organizations express an interest in increasing their use of advanced styles of analytics.

]]></description>
<dc:subject>data-science gartner</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:c71d42363e60/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:data-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:gartner"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram">
    <title>The Data Science Venn Diagram — Drew Conway</title>
    <dc:date>2019-04-15T20:13:16+00:00</dc:date>
    <link>http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[What is clear, however, is that one needs to learn a lot as they aspire to become a fully competent data scientist. Unfortunately, simply enumerating texts and tutorials does not untangle the knots. Therefore, in an effort to simplify the discussion, and add my own thoughts to what is already a crowded market of ideas, I present the Data Science Venn Diagram.

]]></description>
<dc:subject>data-science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:c72fdc4ceecc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:data-science"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://lintool.github.io/UMD-courses/bigdata-2015-Spring/content/Hammerbacher_2009.pdf">
    <title>Hammerbacher_2009.pdf</title>
    <dc:date>2019-04-15T20:11:19+00:00</dc:date>
    <link>https://lintool.github.io/UMD-courses/bigdata-2015-Spring/content/Hammerbacher_2009.pdf</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[Information Platforms and the Rise of
the Data Scientist
Jeff Hammerbacher]]></description>
<dc:subject>data-science bi data facebook</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:6d8b23ee49d5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:data-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:bi"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:facebook"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.jstor.org/stable/1403527?seq=1#page_scan_tab_contents">
    <title>Data Science: An Action Plan for Expanding the Technical Areas of the Field of Statistics on JSTOR</title>
    <dc:date>2019-04-15T20:10:10+00:00</dc:date>
    <link>https://www.jstor.org/stable/1403527?seq=1#page_scan_tab_contents</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[Data Science: An Action Plan for Expanding the Technical Areas of the Field of Statistics - William (Bill) Cleveland]]></description>
<dc:subject>data-science statistics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:04dfa09773ab/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:data-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://steveblank.com/2019/04/10/startup-stock-options-why-a-good-deal-has-gone-bad/">
    <title>Steve Blank Startup Stock Options – Why A Good Deal Has Gone Bad</title>
    <dc:date>2019-04-13T08:09:18+00:00</dc:date>
    <link>https://steveblank.com/2019/04/10/startup-stock-options-why-a-good-deal-has-gone-bad/</link>
    <dc:creator>vielmetti</dc:creator><dc:subject>startup equity compensation finance startups options via:popular</dc:subject>
<dc:identifier>https://pinboard.in/u:vielmetti/b:243b287b046f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:startup"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:equity"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:compensation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:finance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:startups"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:options"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:via:popular"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://ssl.linklings.net/conferences/cug/cug2019_program/views/by_date.html#pap105">
    <title>CUG2019 Program</title>
    <dc:date>2019-04-12T23:38:23+00:00</dc:date>
    <link>https://ssl.linklings.net/conferences/cug/cug2019_program/views/by_date.html#pap105</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[In this paper we present the first scaling results from Isambard, the first production supercomputer to be based on Arm CPUs that have been optimised specifically for HPC. Isambard is a Cray XC50 `Scout' system, combining Marvell ThunderX2 Arm-based CPUs with Cray's Aries interconnect. The full Isambard system was delivered in late 2018 and contains a full cabinet of 168 dual socket nodes, for a total of 10,752 heavyweight Arm cores. In this work, we build on the single node results we presented at CUG 2018, and present scaling results for the full system. We compare Isambard's scaling results with Aries-based XC systems based on x86 CPUs, including Intel Skylake and Broadwell. We focus on a range of applications and mini-apps important to the UK national HPC service, ARCHER, and to Isambard project partners.
]]></description>
<dc:subject>isambard arm64</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:e8bcc84536a4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:isambard"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:arm64"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://cug.org/cug-2019/">
    <title>CUG 2019 – CUG</title>
    <dc:date>2019-04-12T23:38:03+00:00</dc:date>
    <link>https://cug.org/cug-2019/</link>
    <dc:creator>vielmetti</dc:creator><dc:subject>cray cug isambard arm64</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:3848ccd11a66/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:cray"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:cug"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:isambard"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:arm64"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://blog.acolyer.org/2019/04/12/master-of-web-puppets:-abusing-web-browsers-for-persistent-and-stealthy-computation/">
    <title>Master of web puppets: abusing web browsers for persistent and stealthy computation | the morning paper</title>
    <dc:date>2019-04-12T07:39:06+00:00</dc:date>
    <link>https://blog.acolyer.org/2019/04/12/master-of-web-puppets:-abusing-web-browsers-for-persistent-and-stealthy-computation/</link>
    <dc:creator>vielmetti</dc:creator><dc:subject>botnet service-workers browser javascript interesting</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:60440b6cc50a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:botnet"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:service-workers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:browser"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:javascript"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:interesting"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://jvns.ca/blog/2017/04/01/slow-down-your-internet-with-tc/">
    <title>Slow down your internet with tc - Julia Evans</title>
    <dc:date>2019-02-28T22:33:03+00:00</dc:date>
    <link>https://jvns.ca/blog/2017/04/01/slow-down-your-internet-with-tc/</link>
    <dc:creator>vielmetti</dc:creator><description><![CDATA[You can also use tc to make your server internet slow. I used tc to make a DNS server in a test environment slow to see how a DNS client I was interested in would behave, exactly.]]></description>
<dc:subject>tc julia-evans</dc:subject>
<dc:identifier>https://pinboard.in/u:vielmetti/b:c528f3c29d7b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:tc"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:julia-evans"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://infocenter.arm.com/help/index.jsp?topic=/com.arm.doc.set.coresight/index.html">
    <title>ARM Information Center - coresight</title>
    <dc:date>2019-02-20T16:08:02+00:00</dc:date>
    <link>http://infocenter.arm.com/help/index.jsp?topic=/com.arm.doc.set.coresight/index.html</link>
    <dc:creator>vielmetti</dc:creator><dc:subject>coresight arm64 debug</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:56ecb5f6c334/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:coresight"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:arm64"/>
	<rdf:li rdf:resource="https://pinboard.in/u:vielmetti/t:debug"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.qrz.com/db/W8TAM">
    <title>W8TAM - Callsign Lookup by QRZ Ham Radio</title>
    <dc:date>2019-02-18T02:37:32+00:00</dc:date>
    <link>https://www.qrz.com/db/W8TAM</link>
    <dc:creator>vielmetti</dc:creator><dc:subject>w8tam qrz</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:vielmetti/b:5d2473679604/</dc:identifier>
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