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Friday, May 25th, 2018

Today's New Articles

Data Science Central Webinar Series Event "How to See and Understand Big Data" - May 7th Space is limited.   Visual analysis is an iterative process that exploits the power of the human visual system to help people work with all kinds of data.  When data is big, people must overcome the challenges of wide data, tall data and data from multiple sources.  In this talk, Dr. Mackinlay will describe how people working with data can address these challenges.  The key technique is to use multiple coordinated views of data during visual analysis and storytelling with data.

April 9, 2013, Video and Slideshare Presenation from the last NYC Data Science Meetup, which featured Tumblr data scientist Adam Laiacano.   His talk covers the analytics stack at Tumblr and the tools his team uses to organize and analyze data, including: Scribe, Hive & Pig, Hue, and Vowpal Wabbit.

April 3, 2013 . Video Overview:  Data science is what makes the Industrial Internet—the emerging network of machines from jet engines to steam turbines to smart appliances—so valuable. Top leaders in the field will discuss its future on a panel help April 4th in San Francisco hosted by GE. The discussion focused on the increasing importance of data science in industry and challenging the next generation of data scientists to define future applications. Joining GE’s data science leader Anil Varma will be: Anthony Goldbloom, Founder and CEO of Kaggle, an online platform that hosts data competitions; Hilary Mason, Chief Data Scientist at URL-shortening service bitly; Annika Jimenez, Global Head of Data Science Services at IT company Pivotal; and Dr. Andreas Weigend, from Stanford and UC-Berkeley’s joint Social Data Lab.

APRIL 3, 2013 BY MATT TURCK: We had an all star event on March 19 at the New York Data Business Meetup with some great presentations and discussions (and some fun stuff as well: see Jeff Hammerbacher’s first few slides about how the term “data scientist” came to existence).  Videos Include: Platfora, Think Big Analytics, Greylock Partners, and Cloudera.

This article contains a look inside core features of specialized data analysis languages: MATLAB, R, and Julia - by | @avibryant |

By Piyanka Jain, CEO of Aryng.  "I came across the term “data scientist” a few years ago when somebody (from the valley, of course) asked me, “So are you a data scientist?" And my immediate answer was, “No, I am not a scientist." Although I already had spent a decade in the data space, driving business impact through analytics, I did not see myself as a scientist..."

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