My name is Dustin Stansbury. I received my PhD from UC Berkeley, studying theoretical neuroscience and machine learning. During my graduate studies I learned a crap load about how brains and computers perform computations. Now, as a Data Scientist for the education technology company  Quizlet, I employ a ton quantitative techniques on a day-to-day basis.

This blog is essentially an attempt to distill and share some of the knowledge I’ve gained through my experiences.  The blog is composed of posts about analysis techniques, algorithms, theory, or things I just think are cool,  exciting, or helpful.

I plan for most posts to be based around a source code implementation of whatever I’m trying to explain (which can potentially be somewhat formal).  I have found that making direct connections between theory and implementation is incredibly useful for gaining incite into technical concepts. Though most implementations will be in python, you’ll probably see some SQL, Javascript, MATLAB, and PHP examples if you poke around. For more in-depth analyses, I’ll try to include related source code to github.

I hope that you find the blog useful, and any comments, suggestions, or suggested topics are welcome and greatly appreciated.



**The first series of posts will actually be a port of previous MATLAB-based posts belonging to my original blog, The Clever Machine.


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