You gain wisdom only when you look back, so think regressively more!

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Recently, I’ve been playing with the deep learning python package ‘tensorflow’. I ran a simple linear regression model and had some success. Tensorflow is great with unstructured data and image recognization problem. Therefore, it usually runs better in a GPU supported computer. However, given my model is rather simple and won’t need to rely on too much image processing power like GPU. I did it on my windows 7 professional/10 machine and it predicted some values for me.

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If you have viewed my bio, you probably noticed that I don’t have a science or engineering background, so how come I end up with data scientist? Well, it turns out that you don’t need a science or engineering background to become a data scientist! Here’s my personal trajectory. I think it’s highly reproducible:) In Sep 2014, I was hired as a marketing research analyst by AccuWeather to work on AW’s new adventure: IoT or we call it emerging platform projects.

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I am a teaching assistant for the following courses at Penn State University:

TBD

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SIA Career Panel
Aug 26, 2016 2:00 PM

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