Category Archives: Data Scientists
Josh Wills on Machine Learning in a Business Setting
[youtube https://www.youtube.com/watch?v=IgfRdDjLxe0?rel=0] Academic machine learning is all about optimization. Machine learning in a business setting is all about understanding: “My focus is always on how do I understand what the system is doing, come up with new hypotheses about this … Continue reading
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Design Thinking for Dummies (Data Scientists)
[slideshare id=30767715&style=border: 1px solid #CCC; border-width: 1px 1px 0; margin-bottom: 5px; max-width: 100%;&sc=no] Strata preview 2014: Design thinking for dummies (data scientists) from Dean Malmgren Data scientists often face ambiguous challenges and, as a group, should use and make use … Continue reading
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DataKind’s Jack Porway on Data Science
[youtube=http://www.youtube.com/watch?v=Mm1RplOU0cQ&w=560&h=315] “If you leave an excited data scientist on his own to solve a problem, he’s going to solve his own problem – which is usually parking his car, or finding a bar to drink at. The trick that we … Continue reading
5 Minutes on the Myth of the Data Science Platypus (Video)
[youtube=http://www.youtube.com/watch?v=9f-XXR9j6m8&w=420&h=315] “Data science is in danger of being a fad. Data scientists need to build a reputation for providing actual value”–Kim Stedman
A Practical Introduction to Data Science Skills (Video)
Google’s Michael Manoochehri at DataEDGE 2013 presenting an introduction to data analysis and suggestions for how to become a data scientist (his notes for the presentation are here). [youtube=http://www.youtube.com/watch?v=rpwZ_i-9U0o&w=560&h=315]
LinkedIn’s Daniel Tunkelang on How to Interview a Data Scientist
Tunkelang: The O’Reilly Strata Conference brings together an incredible community of people working on big data. This year, I decided to do something different for my presentation. Rather than talk about science or technology, I addressed the practical problem of interviewing the candidates … Continue reading
Vincent Granville’s 66 job interview questions for data scientists
What is the biggest data set that you processed, and how did you process it, what were the results? Tell me two success stories about your analytic or computer science projects? How was lift (or success) measured? What is: … Continue reading
DJ Patil at LeWeb, December 2012
[youtube http://www.youtube.com/watch?v=J_CYKk8q1Ao] Summary of the presentation by Ben Rooney here Update: Ben Rooney interviews DJ Patil [youtube http://www.youtube.com/watch?v=0LtzMhr0ZCM]
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Big Data Quotes of the Week: August 10, 2012
“With big data, you have only two concerns, but they are, naturally, big ones: where the data will come from and what your company will do with it. Solve these and you have big data licked… IT projects have to … Continue reading
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The Data Science Interview: Edwin Chen, Twitter
I don’t do pure research—my analysis enables real-world functionality Currently mining terabytes of tweets as a data scientist with Twitter, Edwin Chen studied math and linguistics at MIT and then crunched numbers at Peter Thiel’s hedge fund, Clarium Capital Management. … Continue reading
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