Cathy O’Neil(on the right) provides some great details about why it is difficult to teach data science in college. She also mentions that some of the best people to lead data science programs are probably not publishing papers. They are working in industry.
Microsoft has been doing machine learning for a long time, and it looks like some of those efforts might soon pay off. How do you think this will work out for Microsoft?
The Twitter Political Index tries to evaluate people’s feeling about the United States presidential candidates. There is loads of data science behind this calculation. Currently, it has Barack Obama in the lead with a score of 66, and Mitt Romney trailing with a score of 56.
Do you know of any other sites trying to predict the election by analyzing social media behavior?
P.S. If you live in the United States, now that you are done reading this post, please find some time to go vote.
Open Source Software can be great. TechCruch lists 5 fairly new open source technologies for big data.
This is probably a good list to pay attention to for the near future.
- SAP Hana
If you are unfamiliar with some of software on the list, please read the article for more details.
David Smith of Revolution Analytics will be presenting a webinar tomorrow, Thursday, November 1, 2012. The webinar is titled, The Rise of Data Science in the Age of Big Data Analytics: Why data distillation and machine learning aren’t enough. Registration for the webinar is free.
David Smith is one of the most popular bloggers on the topics of data science, big data, and R. He blogs at http://blog.revolutionanalytics.com/
Drew provides a nice analysis of the popularity of programming languages.
The Central Intelligence Agency is hiring data scientists. They appear to be hiring at multiple levels. Unfortunately, the position description is quite vague. It is tough to know exactly what the CIA is looking for and technologies are currently being used at the CIA.