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KDD 13, another day

Stephen J. Write gave a brief, high-level, but very nice, clear keynote today at KDD’2013. Here’s the link to his talk slide, Several links he posted are also very interesting:

The panel discussion is about why and how Data Scientist should and can contribute to start up industry. People asked various questions like:

– What are the tips of choosing a startup, is a real ‘start’- type start-up better, or a start-up but kind of established better?

– As an investigator, what are the key things to evaluate to make the judgment that whether the start-up is worthy to investigate?

CEO, team, find a business co-founder, idea, execution,  hiring, patent,

– In this (big)data analysis, minding area,  does people (data scientist) still need or  better to get a PHD?

– When choose to start a ‘start-up’, when choose to leave a big company, leave a stable job & life, how do you evaluate, perceive and think about the risk behind this?  Is it rewarding  a lot (financially) ? Is financial gain your objective function?

You can find a more complete note here.

Categories: Data Mining
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