Eric J Ma's Website

What can data scientists do during the COVID-19 outbreak? Many things, but the most important is probably encouraging local action to stop the spread of the virus. Our number crunching and communication skills can be put to good use locally here. That's one way we can help outside of the usual recommendations.

That, and don't sneeze at the grocery store!

Have you found your deep learning model's forward pass to be excruciatingly slow? Come read on to learn how we made a deep learning model 100X faster!

Hugo Bowne-Anderson, a long-time collaborator and friend in the PyData community, asked in passing about whether I would write a blog post detailing how to set up Travis CI to continually publish my Markdown-sourced slides to the web. I gladly obliged, and I hope you find it useful!

I went to Ann Arbor, MI, to give a talk on testing for data science, and I wanted to share a bit about what Ann Arbor, the PyData community in SE Michigan, and the food here was like.

In Massachusetts, how are cyclists supposed to use the road? I always had a few questions about my own knowledge, until I finally decided to re-check the rules of the road for cyclists and motorists. Turns out, I wasn’t wrong all this while.

Have you heard of FastAPI? I didn't until a recent project at work, and I finally got a chance to test-drive it. Come read on to learn more about why it's fast!

I have received questions from others on how to build a digital profile for career development. Everybody’s going to have a unique path, and what I think I can offer are observations on what I think have been helpful for myself and others who have enjoyed similar successes in getting started. My hope is that these pointers, which come from self-reflection over the past two years of work, help you.

How automated statistical procedures can still be useful.

How one can serve up multiple panel apps on the same Panel server.

Some reflections on uncertainty after reading a blog post by Brandon Rohrer.