“I don’t want to be a designer, a marketer, an illustrator, a brander, a social media consultant, a multi-platform guru, an interface wizard, a writer of copy, a technological assistant, an applicator, an aesthetic king, a notable user, a profit-maximizer, a bottom-line analyzer, a meme generator, a hit tracker, a re-poster, a sponsored blogger, a starred commentator, an online retailer, a viral relayer, a handle, a font or a page. I don’t want to be linked in, tuned in, ‘liked’, incorporated, listed or programmed. I don’t want to be a brand, a representative, an ambassador, a bestseller or a chart-topper. I don’t want to be a human resource or part of your human capital.”
A beautiful example of why data visualisation is essential:
The Anscombe’s Quartet shows how four sets of data with identical simple summary statistics can vary considerably when graphed.
“Last summer, I spent several months working with Google’s Knowledge team in Mountain View, working with Jeff Dean and an incredible group of scientists and engineers who have a real shot at making spectacular progress in machine learning. Together with two of my recent graduate students, Ilya Sutskever and Alex Krizhevsky (who won the 2012 ImageNet competition), I am betting on Google’s team to be the epicenter of future breakthroughs. That means we’ll soon be joining Google to work with some of the smartest engineering minds to tackle some of the biggest challenges in computer science. I’ll remain part-time at the University of Toronto, where I still have a lot of excellent graduate students, but at Google I will get to see what we can do with very large-scale computation.”
Deep learning on a GooglePlex scale beckons…..