Why open-source software matters Computer software can often cost more than the machine itself. Not only is there a huge economic barrier for anyone looking to explore a new tool, program, or application, but anyone interested in taking bits and pieces of a software’s offering is deterred by exorbitant price points. Furthermore, if something ever … Continue reading The Wonderful World of SciPy
As part of the Moore-Sloan Data Science Initiative’s ongoing commitment to promoting diversity, we are highlighting the work of 5 exceptional women in the field of data science. The first profile in our series is on Katy Huff, a Berkeley Institute for Data Science, Moore/Sloan fellow. Nuclear power is a highly controversial topic within the … Continue reading Women in Data Science: Kathryn Huff
Having sponsored the Facebook smartUP last Spring, as well as sponsoring two more smartUps taking place this Fall and Winter, Medidata has continued to partner with the NYU on multiple fronts. Even one of the Masters of Data Science students from the first graduating class, Patricia Allen, began working as a statistical analyst in June … Continue reading Medidata Comes to CDS
Last Friday, NYU’s Center for Data Science welcomed two companies, TEK systems, and Medidata Solutions to the first weekly set of career information sessions. These sessions give students networking opportunities to find how their Data Science coursework and internships are applicable in various careers. Tek Systems kicked off our first information session of the semester … Continue reading TEK Systems Comes to CDS
Kyunghyun Cho is a newly appointed, joint assistant professor at NYU’s Center for Data Science, and the Courant Institute for Mathematical Sciences. His work as a researcher focuses in the area of Natural Language Processing (NLP), and he will be teaching a course in the fall on the pragmatic approaches, and philosophical foundations of using neural … Continue reading Interview with New CDS Professor Kyunghyun Cho
Recently named NYU Center for Data Science Professor of the Year, CDS Adjunct Associate Professor David Rosenberg is currently Chief Scientist of YP Mobile Labs at YP and a former Chief Scientist at Sense Networks (acquired by YP in 2014). Dr. Rosenberg specializes in machine learning, artificial intelligence, predictive analytics and statistical modeling. Dr. Rosenberg … Continue reading CDS Professor of the Year and YP Mobile Labs Chief Scientist David Rosenberg Pushes the Boundaries of Machine Learning And Predictive Analytics
After an open election among members of the IEEE Visualization and Computer Graphics Technical Committee (VGTC), Professor Claudio Silva of the department of Computer Science and Engineering was elected chair of the organization. The appointment will last for two years. [Click here for full story] Continue reading Professor Claudio Silva Voted Chair in Prestigious IEEE Committee
The U.S. Centers for Medicare and Medicaid Services released data on the $103 billion in prescription drugs that providers prescribed in 2013 as part of the Medicare Part D Prescription Drug Program. The dataset, containing drug cost information for 36 million patients and 1 million prescribers, will allow consumers, providers, researchers, and other stakeholders to … Continue reading Medicare Releases Detailed Data on Prescription Drug Spending
Google has launched its Government Innovation Labs which will bring together private and public sector leaders to improve how governments approach hard problems. The program will challenge teams to use innovative thinking and tools, such as data visualization and open data solutions, to identify how they can get a better return on investment for new … Continue reading Making Government More Data Savvy
Microsoft has published a new site called “How Old Do I Look” to demonstrate the potential for its machine learning service Azure to spot trends and make predictions. Users can upload a photo to the site and Microsoft’s algorithms will identify the face in the image and estimate the age of the person pictured. Microsoft … Continue reading Machine Learning Can Guess Your Age
