Eric J Ma's Website

Outline

1. Introduction:
   1. Motivation
   2. Model description
   3. Link to code
2. Environment Setup
3. Performance
   1. Python vs. PyPy on one parameter set.
   2. Vary number of... (read more)
      (1180 words, approximately 6 minutes reading time)

When you think about software engineering skills, you probably don't think about the analytics types, or data scientist (DS) teams. This is a reasonable thought. Data scientists aren't in the business of building software, they're in the business... (read more)

Conferences are made up of people, just like any other group of human beings grouping together.

What makes one differ from another really boils down to the people.

I read a tweet recently that described the SciPy 2015 conference as... (read more)

The conference is over! I get to go home now, but I also will miss being a part of the community. Hope to go back next year!

Thoughts

1. It was fun to set so many new people from a variety of disciplines. This... (read more)
   (481 words, approximately 3 minutes reading time)

Morning Session

1. Will millenials ever get married?: Survival analysis made simple.
2. Distarray: A tool to do distributed computing on numpy arrays.
3. Teaching with Jupyter:... (read more)
   (129 words, approximately 1 minute reading time)

The final tutorial that I sat in today was the intermediate computational statistics tutorial. This was led by Chris Fonnesbeck, prof at Vanderbilt University, fellow Vancouverite, also one of the maintainers of the PyMC3 package.

This morning, I attended the Geospatial Data tutorial. It wasn’t a filled lecture hall, but that was likely because the topic is a bit more specialized. That said, I think it was a tutorial with great content. Part of my own research work may... (read more)

I sat in the Bokeh/Blaze tutorial this afternoon. It was a challenging tutorial, but a good one nonetheless. I could tell that our tutorial leader, Christine, put in quite a bit of effort in preparing the... (read more)