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Martin McEnroe

Big Data Visualization Evangelist
I've always wanted to know everything about everything. I've designed CMOS, I know how adders work, I know BIOS code, timing diagrams, start-up testing, disk head physics, software design, caching, visual basic, that's just PCs. I have picked apart so many things. But LinkedIn, I love. I love understanding what they are doing, the algorithms behind the matches, the maps, the recommendations. I love the sociological aspect of how we interact with each other.

So in class last month (shout-out to Prof. ChengXiang Zhai) we learn about binary relevance judgments: Does Dan Sheinbein know about telecommunications ? Does Bill Leighton know about IP? Do Sebastian Thrun or Peter Norvig know about AI? - sometimes these recommendation requests make me laugh out loud.

What we need on LinkedIn is multi-level relevance judgments, In simple language, 5 stars like Netflix. How MUCH does Sergei Brin know about PageRank?

I hope we all live to 164. There is no shortage of things to learn. There is no shortage of problems. "The poor will always be with you"? I always thought that was kind of a challenge. Jacob wrestled. Maybe this is our challenge. We laugh "you're trying to solve world hunger". So solve it, weakling.