written by Eric J. Ma on 2019-05-29 | tags: bayesian probabilistic programming tensors data science probability distributions
I learned a ton hacking on PyMC4 with the TensorFlow Probability team in Montreal this year, particularly about probability distributions and semantic issues that we can run into with tensor shapes. If you’re curious, read on!
Read on... (1653 words, approximately 9 minutes reading time)written by Eric J. Ma on 2019-05-11 | tags: pycon software development sprint open source
Together with my colleague Zach Barry, we led a pyjanitor sprint! It was really fun, looking forward to more in the future!
written by Eric J. Ma on 2019-05-10 | tags: programming coding data science
Some realizations on how disruptive context switching can be. My first thoughts on how to deal with it during a sprint...
Read on... (240 words, approximately 2 minutes reading time)written by Eric J. Ma on 2019-05-10 | tags: pycon 2019 conferences data science
My real-time thoughts on SciPy 2019’s tutorial and conference days. It’s been a pretty awesome experience thus far, though shouldering three tutorials was indeed a marathon for me, much as I love teaching!
Read on... (383 words, approximately 2 minutes reading time)written by Eric J. Ma on 2019-04-29 | tags: pycon python data science conferences
I'm headed out to PyCon 2019! This year, I will be co-instructing two tutorials, one on network analysis and one on Bayesian statistics, and delivering one talk on Bayesian statistics.
The first... (read more)
(329 words, approximately 2 minutes reading time)written by Eric J. Ma on 2019-03-24 | tags: data science machine learning
Have you heard of variance explained as a loss function and machine learning metric? Turns out it’s quite useful and interpretable. I’d like to share this new learning with you.
Read on... (440 words, approximately 3 minutes reading time)written by Eric J. Ma on 2019-03-22 | tags: python hacks tips and tricks data science productivity coding
In praise of functools.partial, and how I used it in a Flask/Bokeh app!
written by Eric J. Ma on 2019-03-20 | tags: data science productivity
My tooling, routines, and techniques for getting things done and learning new things!
Read on... (825 words, approximately 5 minutes reading time)written by Eric J. Ma on 2019-03-01 | tags: data science programming best practices
In this Q&A-style blog post, I detail how data scientists can begin to engage in pair coding as a more common practice in our day-to-day work, and why we should spend the time to do it as much as we can afford.
Read on... (840 words, approximately 5 minutes reading time)written by Eric J. Ma on 2019-01-28 | tags: data science data products minimum viable products
I would like to encourage you to build more "minimum viable products" of your projects. Come learn why they’re so valuable!
Read on... (100 words, approximately 1 minute reading time)