際際滷shows by User: shilman / http://www.slideshare.net/images/logo.gif 際際滷shows by User: shilman / Fri, 25 May 2012 19:34:38 GMT 際際滷Share feed for 際際滷shows by User: shilman Project Management /slideshow/project-management-13080907/13080907 07-project-managementr1-120525193440-phpapp01
Four different approaches to project management with pros and cons.]]>

Four different approaches to project management with pros and cons.]]>
Fri, 25 May 2012 19:34:38 GMT /slideshow/project-management-13080907/13080907 shilman@slideshare.net(shilman) Project Management shilman Four different approaches to project management with pros and cons. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/07-project-managementr1-120525193440-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Four different approaches to project management with pros and cons.
Project Management from Michael Shilman
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Controlled Experiments - Shengdong Zhao /slideshow/controlled-experiments-shengdong-zhao/12989203 shenzhaoquantitativeeval-120518210215-phpapp02
Seoul National University guest lecture by Shengdong Zhao, National University of Singapore - http://www.comp.nus.edu.sg/~zhaosd/]]>

Seoul National University guest lecture by Shengdong Zhao, National University of Singapore - http://www.comp.nus.edu.sg/~zhaosd/]]>
Fri, 18 May 2012 21:02:14 GMT /slideshow/controlled-experiments-shengdong-zhao/12989203 shilman@slideshare.net(shilman) Controlled Experiments - Shengdong Zhao shilman Seoul National University guest lecture by Shengdong Zhao, National University of Singapore - http://www.comp.nus.edu.sg/~zhaosd/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/shenzhaoquantitativeeval-120518210215-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Seoul National University guest lecture by Shengdong Zhao, National University of Singapore - http://www.comp.nus.edu.sg/~zhaosd/
Controlled Experiments - Shengdong Zhao from Michael Shilman
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Iterative Prototyping /slideshow/iterative-prototyping/12794650 06-prototypingr1-120504012211-phpapp01
Workshop on low-cost methods for design and iterative prototyping.]]>

Workshop on low-cost methods for design and iterative prototyping.]]>
Fri, 04 May 2012 01:22:10 GMT /slideshow/iterative-prototyping/12794650 shilman@slideshare.net(shilman) Iterative Prototyping shilman Workshop on low-cost methods for design and iterative prototyping. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/06-prototypingr1-120504012211-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Workshop on low-cost methods for design and iterative prototyping.
Iterative Prototyping from Michael Shilman
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Personal Desire / Design Fiction /slideshow/design-fiction/12645470 06-keywon-collectiveintelr1-120422210130-phpapp01
Keywon Chung guest lecture: Personal Desire / Design Fiction]]>

Keywon Chung guest lecture: Personal Desire / Design Fiction]]>
Sun, 22 Apr 2012 21:01:29 GMT /slideshow/design-fiction/12645470 shilman@slideshare.net(shilman) Personal Desire / Design Fiction shilman Keywon Chung guest lecture: Personal Desire / Design Fiction <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/06-keywon-collectiveintelr1-120422210130-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Keywon Chung guest lecture: Personal Desire / Design Fiction
Personal Desire / Design Fiction from Michael Shilman
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Data Design /shilman/data-design 05-data-designr1-120406063244-phpapp01
Combining data mining building blocks to build real systems.]]>

Combining data mining building blocks to build real systems.]]>
Fri, 06 Apr 2012 06:32:40 GMT /shilman/data-design shilman@slideshare.net(shilman) Data Design shilman Combining data mining building blocks to build real systems. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/05-data-designr1-120406063244-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Combining data mining building blocks to build real systems.
Data Design from Michael Shilman
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Data Mining /slideshow/data-mining-12218977/12218977 04-data-miningr1-120330025854-phpapp01
High-level overview of common data mining techniques.]]>

High-level overview of common data mining techniques.]]>
Fri, 30 Mar 2012 02:58:52 GMT /slideshow/data-mining-12218977/12218977 shilman@slideshare.net(shilman) Data Mining shilman High-level overview of common data mining techniques. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/04-data-miningr1-120330025854-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> High-level overview of common data mining techniques.
Data Mining from Michael Shilman
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Myoyoung Kim: Visual Storytelling, Infographics! /slideshow/myoyoung-kim-visual-storytelling-infographics/12189695 03-myoyoung-infographicsr1-120328051212-phpapp01
Vice versa design studio CEO Myoyoung Kim presents an overview of infographics, examples, and process.]]>

Vice versa design studio CEO Myoyoung Kim presents an overview of infographics, examples, and process.]]>
Wed, 28 Mar 2012 05:12:10 GMT /slideshow/myoyoung-kim-visual-storytelling-infographics/12189695 shilman@slideshare.net(shilman) Myoyoung Kim: Visual Storytelling, Infographics! shilman Vice versa design studio CEO Myoyoung Kim presents an overview of infographics, examples, and process. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/03-myoyoung-infographicsr1-120328051212-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Vice versa design studio CEO Myoyoung Kim presents an overview of infographics, examples, and process.
Myoyoung Kim: Visual Storytelling, Infographics! from Michael Shilman
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Seungwon Hwang: Entity Graph Mining and Matching /slideshow/seungwon-hwang-entity-graph-mining-and-matching/12184882 snuswh-120327213431-phpapp01
This talk introduces the problem of matching web-scale entity graphs, such as multilingual name graphs and social network graphs, to solve difficult problems such as name translation or social id finding. While existing approaches focus on using textual (or phonetic) similarity or Web co-occurrences, this approach combines the strength of the two and significantly outperforms the state-of-the-arts. We present our evaluation results using real-life entity graphs.]]>

This talk introduces the problem of matching web-scale entity graphs, such as multilingual name graphs and social network graphs, to solve difficult problems such as name translation or social id finding. While existing approaches focus on using textual (or phonetic) similarity or Web co-occurrences, this approach combines the strength of the two and significantly outperforms the state-of-the-arts. We present our evaluation results using real-life entity graphs.]]>
Tue, 27 Mar 2012 21:34:30 GMT /slideshow/seungwon-hwang-entity-graph-mining-and-matching/12184882 shilman@slideshare.net(shilman) Seungwon Hwang: Entity Graph Mining and Matching shilman This talk introduces the problem of matching web-scale entity graphs, such as multilingual name graphs and social network graphs, to solve difficult problems such as name translation or social id finding. While existing approaches focus on using textual (or phonetic) similarity or Web co-occurrences, this approach combines the strength of the two and significantly outperforms the state-of-the-arts. We present our evaluation results using real-life entity graphs. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/snuswh-120327213431-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This talk introduces the problem of matching web-scale entity graphs, such as multilingual name graphs and social network graphs, to solve difficult problems such as name translation or social id finding. While existing approaches focus on using textual (or phonetic) similarity or Web co-occurrences, this approach combines the strength of the two and significantly outperforms the state-of-the-arts. We present our evaluation results using real-life entity graphs.
Seungwon Hwang: Entity Graph Mining and Matching from Michael Shilman
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Class, where are we? /slideshow/class-where-are-we/12131774 03-mini-project-120323111438-phpapp01
Discussing where we are in the class, how we got there, and why it's not a bad place to be.]]>

Discussing where we are in the class, how we got there, and why it's not a bad place to be.]]>
Fri, 23 Mar 2012 11:14:36 GMT /slideshow/class-where-are-we/12131774 shilman@slideshare.net(shilman) Class, where are we? shilman Discussing where we are in the class, how we got there, and why it's not a bad place to be. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/03-mini-project-120323111438-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Discussing where we are in the class, how we got there, and why it&#39;s not a bad place to be.
Class, where are we? from Michael Shilman
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Ignite Seoul: Machine Learning /slideshow/ignite-seoul-machine-learning/12060605 igniteseoulmachinelearning-120319011410-phpapp01
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Mon, 19 Mar 2012 01:14:07 GMT /slideshow/ignite-seoul-machine-learning/12060605 shilman@slideshare.net(shilman) Ignite Seoul: Machine Learning shilman <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/igniteseoulmachinelearning-120319011410-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Ignite Seoul: Machine Learning from Michael Shilman
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Collective Intelligence Lecture 1: Introduction /slideshow/collective-intelligence-lecture-1-introduction/11811868 01-introductionr1-120301032221-phpapp01
Collective Intelligence - Introduction - Collective Intelligence - Creative Research Practices - Why you should take the course - Assignment 1 - Feedback]]>

Collective Intelligence - Introduction - Collective Intelligence - Creative Research Practices - Why you should take the course - Assignment 1 - Feedback]]>
Thu, 01 Mar 2012 03:22:18 GMT /slideshow/collective-intelligence-lecture-1-introduction/11811868 shilman@slideshare.net(shilman) Collective Intelligence Lecture 1: Introduction shilman Collective Intelligence - Introduction - Collective Intelligence - Creative Research Practices - Why you should take the course - Assignment 1 - Feedback <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/01-introductionr1-120301032221-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Collective Intelligence - Introduction - Collective Intelligence - Creative Research Practices - Why you should take the course - Assignment 1 - Feedback
Collective Intelligence Lecture 1: Introduction from Michael Shilman
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https://cdn.slidesharecdn.com/profile-photo-shilman-48x48.jpg?cb=1523265069 Michael is CTO of Lab80, a personal investing startup in Seoul and San Francisco. He is a three-week old Meteor enthusiast. Earlier, he was: Adj. Professor at Seoul National University, Chief Scientist at online shopping startup Wize (acquired 2010), Research Scientist at Microsoft Research, and Computer Science PhD, UC Berkeley. hellomoney.co https://cdn.slidesharecdn.com/ss_thumbnails/07-project-managementr1-120525193440-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/project-management-13080907/13080907 Project Management https://cdn.slidesharecdn.com/ss_thumbnails/shenzhaoquantitativeeval-120518210215-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/controlled-experiments-shengdong-zhao/12989203 Controlled Experiments... https://cdn.slidesharecdn.com/ss_thumbnails/06-prototypingr1-120504012211-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/iterative-prototyping/12794650 Iterative Prototyping