Data Science Meet Up Recap

nice picture of the back of someone's head. :) 

My favorite way to interact at conferences is twitter. It's easy to follow hashtags and use @messaging to connect with people. As a result, I often "meet" people on twitter and never really meet them in real life. Today I went to a data science meet up and got to actually meet someone I've been interacting with on twitter since SciPy.

The meet up was basically an intro to data science. We talked about why data science is having a moment, what the data science work flow looks like, and what skills are crucial in being an effective data scientist. We then went through a tutorial using a Jupyter notebook, scikit-learn, and the iris data set. I've actually given a tutorial in a research seminar using that data set, so I didn't really gain much technical insight out of this; however, I did come to this realization:

The amount of machine learning one needs to understand to use SKLearn is very low. This is both wonderful and dangerous. #datascience

— julie k h (@jkru) November 3, 2015

I also got to hang out with Sonya, Michelle and Michael, and some Hackbright grads, while meeting other people who are interested both in data science and building a culture of inclusion in the tech industry. Quality way to spend an evening.