https://jtkim.dreamhosters.com/jtkwiki/index.php?title=Conferences&feed=atom&action=historyConferences - Revision history2024-03-28T14:04:04ZRevision history for this page on the wikiMediaWiki 1.34.2https://jtkim.dreamhosters.com/jtkwiki/index.php?title=Conferences&diff=310&oldid=prevJtkim at 15:56, 13 November 20162016-11-13T15:56:05Z<p></p>
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<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [http://openscoring.io/ Openscoring] (incl. [https://github.com/openscoring/openscoring Openscoring github site])</ins></div></td></tr>
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</table>Jtkimhttps://jtkim.dreamhosters.com/jtkwiki/index.php?title=Conferences&diff=309&oldid=prevJtkim at 15:51, 13 November 20162016-11-13T15:51:45Z<p></p>
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<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.opendatascience.com/blog/the-role-of-constructivism-in-teaching-data-science-for-iot/ The Role of Constructivism in Data Science] -- should there be one, really? Constructivism has two faces / interpretation, one is the outright denial of any objectivity and the other is a kind of acknowledgement of subjectivity. There should be no role for the former in any kind of science, but the latter may have some points.</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.opendatascience.com/blog/the-role-of-constructivism-in-teaching-data-science-for-iot/ The Role of Constructivism in Data Science] -- should there be one, really? Constructivism has two faces / interpretation, one is the outright denial of any objectivity and the other is a kind of acknowledgement of subjectivity. There should be no role for the former in any kind of science, but the latter may have some points.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://github.com/orgs/fluxcapacitor/people Chris Fregly] gave a talk / demo of a [https://github.com/fluxcapacitor/pipeline/wiki Data Science pipeline] comprised of a huge number of data-sciencey components. It was not clear to me whether the demo application really required any of these high performance / high throughput / highly scalable components, but it was surely interesting to see an example of tying all these together. See also [http://pipeline.io/] (I think they're related).</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://github.com/orgs/fluxcapacitor/people Chris Fregly] gave a talk / demo of a [https://github.com/fluxcapacitor/pipeline/wiki Data Science pipeline] comprised of a huge number of data-sciencey components. It was not clear to me whether the demo application really required any of these high performance / high throughput / highly scalable components, but it was surely interesting to see an example of tying all these together. See also [http://pipeline.io/] (I think they're related).</div></td></tr>
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</table>Jtkimhttps://jtkim.dreamhosters.com/jtkwiki/index.php?title=Conferences&diff=308&oldid=prevJtkim at 15:51, 13 November 20162016-11-13T15:51:11Z<p></p>
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<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Open Data Science Conference 2016 ==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Open Data Science Conference 2016 ==</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* reproducible computing in <del class="diffchange diffchange-inline">data </del>science, by [https://github.com/dougmet Douglas Ashton]</div></td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* reproducible computing in <ins class="diffchange diffchange-inline">dathttp://pipeline.io/a </ins>science, by [https://github.com/dougmet Douglas Ashton]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>** [https://github.com/dougmet/vagrantR/ Using Vagrant (with R)]</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>** [https://github.com/dougmet/vagrantR/ Using Vagrant (with R)]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* An intro into [https://www.opendatascience.com/blog/single-layer-neural-networks-and-gradient-descent/ Single Layer ANNs and Gradient Descent]</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* An intro into [https://www.opendatascience.com/blog/single-layer-neural-networks-and-gradient-descent/ Single Layer ANNs and Gradient Descent]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [http://inverseprobability.com/talks/lawrence-osdc16/three-challenges-for-open-data-science.html 3 Challenges for Open Data Science] by Neil Lawrence -- mostly stuff that I found relatively well known already, but the mention of the ratio of information processing to information transmission was very welcome to me.</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [http://inverseprobability.com/talks/lawrence-osdc16/three-challenges-for-open-data-science.html 3 Challenges for Open Data Science] by Neil Lawrence -- mostly stuff that I found relatively well known already, but the mention of the ratio of information processing to information transmission was very welcome to me.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.opendatascience.com/blog/the-role-of-constructivism-in-teaching-data-science-for-iot/ The Role of Constructivism in Data Science] -- should there be one, really? Constructivism has two faces / interpretation, one is the outright denial of any objectivity and the other is a kind of acknowledgement of subjectivity. There should be no role for the former in any kind of science, but the latter may have some points.</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.opendatascience.com/blog/the-role-of-constructivism-in-teaching-data-science-for-iot/ The Role of Constructivism in Data Science] -- should there be one, really? Constructivism has two faces / interpretation, one is the outright denial of any objectivity and the other is a kind of acknowledgement of subjectivity. There should be no role for the former in any kind of science, but the latter may have some points.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [https://github.com/orgs/fluxcapacitor/people Chris Fregly] gave a talk / demo of a [https://github.com/fluxcapacitor/pipeline/wiki Data Science pipeline] comprised of a huge number of data-sciencey components. It was not clear to me whether the demo application really required any of these high performance / high throughput / highly scalable components, but it was surely interesting to see an example of tying all these together. See also [http://pipeline.io/] (I think they're related).</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [https://prometheus.io/]</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [https://graphiteapp.org/]</ins></div></td></tr>
</table>Jtkimhttps://jtkim.dreamhosters.com/jtkwiki/index.php?title=Conferences&diff=307&oldid=prevJtkim at 15:40, 13 November 20162016-11-13T15:40:10Z<p></p>
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<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* reproducible computing in data science, by [https://github.com/dougmet Douglas Ashton]</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* reproducible computing in data science, by [https://github.com/dougmet Douglas Ashton]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>** [https://github.com/dougmet/vagrantR/ Using Vagrant (with R)]</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>** [https://github.com/dougmet/vagrantR/ Using Vagrant (with R)]</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* An intro into [https://www.opendatascience.com/blog/single-layer-neural-networks-and-gradient-descent/ Single Layer ANNs and Gradient Descent]</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [http://inverseprobability.com/talks/lawrence-osdc16/three-challenges-for-open-data-science.html 3 Challenges for Open Data Science] by Neil Lawrence -- mostly stuff that I found relatively well known already, but the mention of the ratio of information processing to information transmission was very welcome to me.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [https://www.opendatascience.com/blog/the-role-of-constructivism-in-teaching-data-science-for-iot/ The Role of Constructivism in Data Science] -- should there be one, really? Constructivism has two faces / interpretation, one is the outright denial of any objectivity and the other is a kind of acknowledgement of subjectivity. There should be no role for the former in any kind of science, but the latter may have some points.</ins></div></td></tr>
</table>Jtkimhttps://jtkim.dreamhosters.com/jtkwiki/index.php?title=Conferences&diff=306&oldid=prevJtkim: Created page with "This page contains interesting stuff I came across at conferences. == Open Data Science Conference 2016 == * reproducible computing in data science, by [https://github.com/d..."2016-11-13T15:31:05Z<p>Created page with "This page contains interesting stuff I came across at conferences. == Open Data Science Conference 2016 == * reproducible computing in data science, by [https://github.com/d..."</p>
<p><b>New page</b></p><div>This page contains interesting stuff I came across at conferences.<br />
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== Open Data Science Conference 2016 ==<br />
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* reproducible computing in data science, by [https://github.com/dougmet Douglas Ashton]<br />
** [https://github.com/dougmet/vagrantR/ Using Vagrant (with R)]</div>Jtkim