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Google Tech Talks July 24, 2008 ABSTRACT Faculty Summit 2008 - Day 1 Google Data - Mark Stahl & Jeff Fisher This presentation will give an overview of the Atom Publishing Protocol, a simple but powerful way of publishing and interacting with data stored on the web. The Atom Publishing Protocol is used as the basis of the Google Data APIs, which provide programmatic access to several Google applications. We will demonstrate a simple example that uses a web application to crowdsource the semantic labeling of image content. Data is both retrieved and published via Data APIs. We will also show how to publish the results of this example as an AtomPub API, and discuss ways you can use AtomPub as the mechanism for sharing your own data. Speaker: Mark Stahl Speaker: Jeff Fisher

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"Theorizing from Data: Avoiding the Capital Mistake Peter Norvig ""It is a capital mistake to theorize before one has data."" Sir Arthur Conan Doyle's words from 1891 remain true today. Researchers in computational linguistics and information retrieval now have a million times more data than was available 30 years ago. This talk explores what this data can do for problems in language understanding, translation, information extraction, and inference, and extrapolates to what more data may bring in the future. "

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http://www.ted.com With the drama and urgency of a sportscaster, statistics guru Hans Rosling uses an amazing new presentation tool, Gapminder, to debunk several myths about world development. Rosling is professor of international health at Sweden's Karolinska Institute, and founder of Gapminder, a nonprofit that brings vital global data to life. (Recorded February 2006 in Monterey, CA.)

Tags: TEDTalks Hans Rosling Gapminder gapminder.org presentation third_world statistics data mining PowerPoint world_health
Look mom no GUI. (gui less video from youtube on linux)

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Breaking News, officials confirm that all online data has been lost after the Internet crashed and was forced to restart. More coverage at: http://www.onion.com

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Google Tech Talks June 26, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Credits: Speaker:David Mease

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If you've just started to use Google Analytics and aren't sure which reports to look at, this video provides a helpful 1st-time analysis walkthrough. You'll learn how to interpret what you see in these key reports and what actions you should take as a result.

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Malaysia Composer/Lyric - LY / Baiduri

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Take a tour of Fusepoint Managed Services high availability data centre

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A scene from the Star Trek: Next Generation episode: Unification Part 2. Spock and Data (my 2 favourites) in the same scene saying what we all already know.

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Get your air gameboys out From the Aerius Light EP including 2 other awesome songs and a Breakbot remix

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A fan-made flash trailer of a fictional videogame starring characters from everyone's favorite defunct game developers, "Data East X Sunsoft" (a parody of "Namco X Capcom") is brought to you by japanese animators Syunpu-Tei-Ko-Bo and Miraiteki-Kukan. See if you can recognize some of the characters, but be warned, some of them are pretty obscure! All in all, a fantastic vid. http://www1.neweb.ne.jp/wa/h-namikai/deco_x_sun_free.htm

Tags: Data East DataEast Sunsoft Syunpu-Tei-Ko-Bo Miraiteki-Kukan flash doujin dojin videogame
Star Trek: Generations He just loves scanning for life forms.

Tags: Data Star Trek Generations Brent Spiner Data's life forms form lifeforms lifeform song
Google Tech Talks December, 4 2007 The Internet economy depends on a reliable computing infrastructure. While earlier reports of information technology using vast amounts all electricity were grossly exaggerated, these facilities still use electricity, and this use is growing rapidly. Recent analysis indicates that data center electricity use in both the US and the world roughly doubled from 2000 to 2005, and this growth is expected to slow only modestly over the following five years. Growth of this magnitude represents a substantial business opportunity for technology companies. This talk will describe results of recent work analyzing trends in total data center power use and how this growth varies by major world region. It will also explore the misplaced incentives and institutional failures that impede data center efficiency investments on a large scale. Finally, it will describe business, government, and research efforts to improve efficiency in these mission critical facilities, including recent work by the Energy Star program to promote server and data center efficiency. Speaker: Jonathan Koomey Dr. Koomey held the MAP/Ming visiting professorship in energy and environment at Stanford University for the 2003-2004 school year, and is now a Consulting Professor at Stanford. He is also a Staff Scientist at Lawrence Berkeley National Laboratory (LBNL), in Berkeley, California. For more than eleven years he led the End-Use Forecasting group at LBNL, which analyzes markets for efficient products and technologies for improving the energy and environmental aspects of those products. The group develops recommendations for policymakers at the U.S. Environmental Protection Agency and the U.S. Department of Energy on ways to promote energy efficiency and prevent pollution. He's also a Research Affiliate of the Energy and Resources Group at the University of California, Berkeley.

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Google Tech Talks June 27, 2007 ABSTRACT Data Grid-based infrastructures are being developed, deployed and used to achieve unlimited application scalability and continuous availability. This presentation focuses on Oracle Coherence Data Grid and how it's capabilities, which includes coherent in-memory caching, dynamic data partitioning, even processing, parallel query and process execution and on how these capabilities enable achievement of these goals and more. In this presentation we will address: · How Coherence capabilities function, such as coherent in-memory caching, dynamic data partitioning, and parallel query and process execution, and how they enable a new generation of grid...

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Complete presentation by Avinash Kaushik at Google Conversion University.

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Artist Aaron Koblin's phalanx of 10,000 sheep, all drawn by random strangers through Amazon's labor distribution mechanism, The Mechanical Turk. Koblin's goal was to raise questions about the emergence of new labor systems in the information age.

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Google Tech Talks January, 23 2008 ABSTRACT I will describe some algorithms for addressing some fundamental optimization problems that arise in the context of data storage and management. In the first part of the talk we will address the following question: How should we store data in order to effectively cope with non-uniform demand for data? How many copies of popular data objects do we need? Where should we store them for effective load balancing? In the second part of the talk we will address the issue of moving data objects quickly, to react to changing demand patterns. We will develop approximation algorithms for these problems. The first part of the talk is joint work with Golubchik, Khanna,Thurimella and Zhu. The second part is joint work with Kim and Wan. Speaker: Samir Khuller Samir Khuller received his M.S and Ph.D from Cornell University in 1989 and 1990, respectively. He spent 2 years as a Research Associate at the Institute for Advanced Computer Studies at the University of Maryland, before joining the Computer Science Department in 1992, where he is a Professor and Associate Chair in the Department of Computer Science. His research interests are in graph algorithms, discrete optimization, and computational geometry. He has published about 130 journal and conference papers, and several book chapters on these topics. He received the National Science Foundation's Career Development Award, the Dean's Teaching Excellence Award and also a CTE-Lilly Teaching Fellowship. In 2003, he and his students were awarded the "Best newcomer paper" award for the ACM PODS Conference. He received the University of Maryland's Distinguished Scholar Teacher Award in 2007.

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Unofficial video I made for the track "Data.Microhelix" from the album "Dataplex" by Ryoji Ikeda.

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fazore na pozdrav kad vidiš komandanta...

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DBAs, developers and designers are often tasked with building and managing databases. Especially when the database has been developed by someone else, you have little to no insight into the database structure. Join Quest Software to learn more about Toad Data Modeler and its features that provide: * Database Design -- Create high-quality database structures, generated automatically, following standard best-practice design methodologies * Documentation -- Generate high-quality, detailed reports for documenting existing database structures * Database Redesign -- Take existing databases, re-design the model, and generate the new design SQL * Database Migration -- Generate out existing database structures to a new database platform for migration or copy to a different database AGENDA: * Overview of Data Modeling * Brief product overview and benefits * Functionality demonstration -- Create ER diagrams and generate SQL scripts -- Reverse engineer -- Add self-relationship, use rolenames, DDL preview -- Data flow diagrams * Overcoming common data modeling mistakes * Q&A

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Video by DATA of their single 'Fallout' from the album 'Opera Electronica'- 1979. Words and Music by Georg Kajanus. Kajanus also penned the Sailor hits 'Traffic Jam', 'A Glass of Champagne', 'Girls Girls Girls', 'La Cumbia' and 'The Secretary' and the DATA hits 'Living Inside Me' and 'Ricocheted Love'. Recent Kajanus covers are 'La Cumbia' by Cuba Club and Scooter's 'Jumping All Over the World', a reworking of 'Champagne'.

Tags: Fallout DATA Georg Kajanus Opera Electronica Sailor Champagne Scooter techno cumbia cuba club
Jeff Fisher walks through basic history and concepts behind the Google Data protocol. Visit the documentation for more information and list of available APIs: http://code.google.com/apis/gdata/

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