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.
Interesting work on “language memorability” by Jon Kleinberg
* You had me at hello: How phrasing affects memorability, Cristian Danescu-Niculescu-Mizil, Justin Cheng, Jon Kleinberg, Lillian Lee
It’s counterpart “memory on visual data“:
* Making Personas Memorable , CHI, 2007, extended abstracts on Human Factors in Computing Systems.
* Konkle, T., Brady, T. F., Alvarez, G. A., & Oliva, A. (2010). Conceptual distinctiveness supports detailed visual long-term memory for real-world objects. Journal of Experimental Psychology: General, 139(3), 558-78. <Data http://cvcl.mit.edu/MM/objectCategories.html >
Another dataset: <http://visualrecall.org/datasets.html >
More publications: <http://visualrecall.org/publications.html >
* Understanding the intrinsic memorability of images, NIPS 2011, Phillip Isola, Devi Parikh, Antonio Torrala, Aude Oliva,