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    The Data Science Report captures the most compelling news, videos, books and events related to hiring and careers within "big data" science and advanced analytics.  If it's important, you'll find it here!

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Tuesday, May 21st, 2019

Today's New Articles

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..."

You’ve heard about the exploding field of “Big Data” and how predictive analytics will help companies achieve competitive advantage, increase revenues & profits and optimize performance.  But what’s noticeably missing in the discussion is using this technology for HR and predicting workforce behaviors.  In other words, not simply reporting & tracking “what happened” but predicting “what is likely to happen, and how you can be better prepared.”

For example…

. How will job applicants with certain profiles perform in various roles?
. Which high performers are most likely to leave the company?
. Who has leadership potential?
. How often will people be absent from work?
. When are various types of people likely to retire?

This article from identifies what’s preventing companies from using predictive analytics for managing human capital.  Read more on

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