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Posted on April 15, 2015
reported by Karl Smith So tell us a little about your background. I did my undergrad in statistics back in China, but I was one of the worst students there. Then I came here to New York for a business degree in graduate school. I’ve been working at a real estate technology firm for 3-4 […]
Posted on April 7, 2015
Contributed by Karl Smith Data is the beginning of any data science project. Sometimes an interesting data source can be an inspiration for a new or inventive data science project. I found this great government site with tons of interesting and unusual data sets.   While many are mundane (like the Grain Transportation Report for […]
Posted on April 1, 2015
This past Monday, over 70 data scientists and open data-ers went up to Microsoft for the Scikit-Learn Workshop Meetup. The event was held through the NYC Data Science Academy and NYC Open Data. Andreas Mueller, one of the core developers, gave a presentation about some of the most advanced features of Scikit-Learn. Andreas currently is […]
Posted on March 30, 2015
On March 18 we were lucky to host Chaitu Ekanadham, a data scientist from Knewton. Knewton is an education technology company that uses adaptive learning techniques. It uses data about past learning to aid students in future learning experiences. For example, in traditional “text book” learning, students move through the content in a linear fashion, […]
Posted on March 9, 2015
Enigma is a very cool company, and NYC Data Science Academy was fortunate enough to be visited last week by two of its data specialists, Destine Ozuygur, Data Solutions Lead and Raluca Dragusanum, a Data Scientist. To say that Enigma is in the business of open data is to understate what they do – Enigma […]
Posted on March 8, 2015
NYC Data Science Bootcamp was visited this week by a data scientists from Google, Harrison Adler. He provided some insight into what a data scientist does on a daily basis, as well as a peek into the “famous” perks Google is known for. He spoke to us on Hangouts from a conference room filled with […]
Posted on March 7, 2015
Why Women Make Great Data Scientists Michael Walker, 2/27/15 Commentary by Janet Kamin Michael Walker starts his blog with faint praise for women, saying that when asked whether women would make good data scientists he says, “yes”, because data scientists need to challenge assumptions, to be contrarian, and women are that. He goes on to […]
Posted on February 27, 2015
Big Data Helps to Fight California Wildfires Mary K. Pratt, 2/23/15 Summary by Jiayu Peng Crews responding to California wildfires can now access aerial photos, stats on ground moisture and wind, and other data to help them plan how best to attack the fire. Fires shift character as they grow and recede, and the data helps […]
Posted on February 25, 2015
Max Kuhn, Director of Nonclinical Statistics of Pfizer and also the author of Applied Predictive Modeling joined us on February 17, 2015 and shared his experience with Data Mining with R.   Max is a nonclinical statistician who has been applying predictive models in the diagnostic and pharmaceutical industries for over 15 years. He is the author and maintainer […]