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Der Vortrag erzählt davon, wie man im Dating-, Liebes-, und Beziehungsleben erfolgreich ist. Dabei wird ein Mix aus wissenschaftlichen Studien, Methoden, sowie ein lockerer Vortragsstil genutzt, um auf unterhaltsame Weise, witzige und skurrile Fakten über unser soziales Verhalten darzustellen und möglichst zum eigenen Vorteil zu nutzen.
Pick up women bigdata - CdE Pfingstakademie 2014
Pick up women bigdata - CdE Pfingstakademie 2014
Manuel Blechschmidt
http://www.meetup.com/Seattle-Data-Science/events/223445403/ Almost a dozen almost-truisms about Data that almost everyone should consider carefully as they embark on a journey into Data Science. There are a number of preconceptions about working with data at scale where the realities beg to differ. This talk estimates that number to be at least eleven, through probably much larger. At least that number has a great line from a movie. Let's consider some of the less-intuitive directions in which this field is heading, along with likely consequences and corollaries -- especially for those who are just now beginning to study about the technologies, the processes, and the people involved.
GalvanizeU Seattle: Eleven Almost-Truisms About Data
GalvanizeU Seattle: Eleven Almost-Truisms About Data
Paco Nathan
Presented 2015-08-24 at SF Bay ACM, held at the eBay south campus in San Jose. http://meetup.com/SF-Bay-ACM/events/221693508/ Project Jupiter https://jupyter.org/ evolved from IPython notebooks, and now supports a wide variety of programming language back-ends. Notebooks have proven to be effective tools used in Data Science, providing convenient packages for what Don Knuth coined as "literate programming" in the 1980s: code plus exposition in markdown. Results of running the code appear in-line as interactive graphics -- all packaged as collaborative, web-based documents. Some have said that the introduction of cloud-based notebooks is nearly as large of a fundamental change in software practice as the introduction of spreadsheets. O'Reilly Media has been considering the question, "What comes after books and video?" Or, as one might imagine more pointedly, what comes after Kindle? To that point we have collaborated with Project Jupyter to integrate notebooks into our content management process, allowing authors to generate articles, tutorials, reports, and other media products as notebooks that also incorporate video segments. Code dependencies are containerized using Docker, and all of the content gets managed in Git repositories. We have added another layer, an open source project called Thebe that provides a kind of "media player" for embedding the containerized notebooks into web pages
Data Science Reinvents Learning?
Data Science Reinvents Learning?
Paco Nathan
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Der Vortrag erzählt davon, wie man im Dating-, Liebes-, und Beziehungsleben erfolgreich ist. Dabei wird ein Mix aus wissenschaftlichen Studien, Methoden, sowie ein lockerer Vortragsstil genutzt, um auf unterhaltsame Weise, witzige und skurrile Fakten über unser soziales Verhalten darzustellen und möglichst zum eigenen Vorteil zu nutzen.
Pick up women bigdata - CdE Pfingstakademie 2014
Pick up women bigdata - CdE Pfingstakademie 2014
Manuel Blechschmidt
http://www.meetup.com/Seattle-Data-Science/events/223445403/ Almost a dozen almost-truisms about Data that almost everyone should consider carefully as they embark on a journey into Data Science. There are a number of preconceptions about working with data at scale where the realities beg to differ. This talk estimates that number to be at least eleven, through probably much larger. At least that number has a great line from a movie. Let's consider some of the less-intuitive directions in which this field is heading, along with likely consequences and corollaries -- especially for those who are just now beginning to study about the technologies, the processes, and the people involved.
GalvanizeU Seattle: Eleven Almost-Truisms About Data
GalvanizeU Seattle: Eleven Almost-Truisms About Data
Paco Nathan
Presented 2015-08-24 at SF Bay ACM, held at the eBay south campus in San Jose. http://meetup.com/SF-Bay-ACM/events/221693508/ Project Jupiter https://jupyter.org/ evolved from IPython notebooks, and now supports a wide variety of programming language back-ends. Notebooks have proven to be effective tools used in Data Science, providing convenient packages for what Don Knuth coined as "literate programming" in the 1980s: code plus exposition in markdown. Results of running the code appear in-line as interactive graphics -- all packaged as collaborative, web-based documents. Some have said that the introduction of cloud-based notebooks is nearly as large of a fundamental change in software practice as the introduction of spreadsheets. O'Reilly Media has been considering the question, "What comes after books and video?" Or, as one might imagine more pointedly, what comes after Kindle? To that point we have collaborated with Project Jupyter to integrate notebooks into our content management process, allowing authors to generate articles, tutorials, reports, and other media products as notebooks that also incorporate video segments. Code dependencies are containerized using Docker, and all of the content gets managed in Git repositories. We have added another layer, an open source project called Thebe that provides a kind of "media player" for embedding the containerized notebooks into web pages
Data Science Reinvents Learning?
Data Science Reinvents Learning?
Paco Nathan
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