Detailed visualization of NBA shot selection

Sports loves conditional distributions. What does Joe Billy Bob typically do against such and such team? How does play differ in wins and losses? And a lot of the data is easily accessible, which makes it straightforward to answer these questions. Buckets, by Peter Beshai, uses NBA data to explore shot selection with plenty of conditionals.

Reference: Detailed visualization of NBA shot selection

Funny pictures of the day

This article shows you some funny pictures. You do not have to understand the captions. But, if you insist, you could try to Google Translate it. Enjoy!

Reference: Funny Pictures of the Day

Ebola Watch: CDC uses big data analytics, free mobile phones to monitor West African expats

A big data analytics program by the Centers for Disease Control developed a few years ago has been applied to the Ebola virus since October. It has helped the CDC coordinate its response to the virus and has supported how it is working with the West African expat community to respond to and monitor new cases.

Reference: Ebola Watch: CDC uses big data analytics, free mobile phones to monitor West African expats

Mind-Blowing Moleskine Doodles by Kerby Rosanes

Kerby Rosanes is the artist behind these amazing pieces. He’s a super talented artist as you can see here. His trace is simply fantastic and it definitely demands lots of effort and dedication to come up with such pieces. For more of it, please visit his portfolio at DeviantART! He’ll definitely enjoy these. Cheers. 😉

Reference: Mind-Blowing Moleskine Doodles by Kerby Rosanes

Scientists Warn About Bias In The Facebook And Twitter Data Used In Millions Of Studies

Social media like Facebook and Twitter TWTR +0.39% are far too biased to be used blindly by social science researchers, two computer scientists have warned.

Writing in today’s issue of Science, Carnegie Mellon’s Juergen Pfeffer and McGill’s Derek Ruths have warned that scientists are treating the wealth of data gathered by social networks as a goldmine of what people are thinking – but frequently they aren’t correcting for inherent biases in the dataset.

Reference: Scientists Warn About Bias In The Facebook And Twitter Data Used In Millions Of Studies

Every Ship That Has Carried Humans Into Space, In One Chart

Space is big, humans are small, and spacecrafts, well, vary more in size than you might think. Redditor Heaney555 has compiled an a chart, to scale, of every rocket, spacecraft, and space station involved in human spaceflight.

Reference: Every Ship That Has Carried Humans Into Space, In One Chart

Google is funding “an artificial intelligence for data science”

As I have been stressing in the past, we can not rule out human in the equation of data science. This Google idea seems to try to automate another science by eliminating human. It is very ideology and could be just wasting money. I agree that, for the initial trial, we can still achieve some automation, especially the one brought up by the article, that is, selecting the optimal parameters in a machine learning by minimizing the output errors. But, again, the risk of the resulting “optimal” machine learning model not being optimal at all is still there (especially due to data bias, which a machine cannot detect, if not known).

Reference: Google is funding “an artificial intelligence for data science”