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Simplifying Uncertainty Responsibly

written by Eric J. Ma on 2019-12-19 | tags: bayesian data science uncertainty decision making

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

Read on... (391 words, approximately 2 minutes reading time)

A Review of the Python Data Science Dashboarding Landscape in 2019

written by Eric J. Ma on 2019-12-15 | tags: dashboarding python data science data visualization software development

My reflection on the Python dashboarding landscape. There's been a lot of activity, and I provide some recommendations on how we as data scientists can choose between tools.

Read on... (1612 words, approximately 9 minutes reading time)

Principled Git-based Workflow in Collaborative Data Science Projects

written by Eric J. Ma on 2019-11-09 | tags: data science git workflow

A short synopsis of a recent essay I wrote, on how to use GitFlow in data science projects.

Read on... (160 words, approximately 1 minute reading time)

Reimplementing and Testing Deep Learning Models

written by Eric J. Ma on 2019-10-31 | tags: data science deep learning testing pair programming code review

I share my thoughts on why re-implementing deep learning models from scratch can be a very valuable activity.

Read on... (1571 words, approximately 8 minutes reading time)

Code review in data science

written by Eric J. Ma on 2019-10-30 | tags: essays data science workflow good practices

My thoughts on how to do code review in data science projects effectively.

Read on... (580 words, approximately 3 minutes reading time)

“AI will not solve medicine”

written by Eric J. Ma on 2019-10-29 | tags: data science drug development artificial intelligence medicine

A mini-rant on why I think hyped-up "AI" has a very long way to go, and that medicine is much too complex for us to solve at one shot.

Read on... (530 words, approximately 3 minutes reading time)

Caching Long-Running Function Results

written by Eric J. Ma on 2019-10-18 | tags: python tips optimization packages

cachier, a really nifty tool for caching function results, is really useful and easy-to-use! Come read why.

Read on... (244 words, approximately 2 minutes reading time)

Jupyter Server with HTTPS on Personal Server

written by Eric J. Ma on 2019-10-05 | tags: jupyter dataops devops data science

Some notes on how to serve up an HTTPS-enabled Jupyter server.

Read on... (410 words, approximately 3 minutes reading time)

Multiple Coin-Flips vs. One Coin Flip Generalized?

written by Eric J. Ma on 2019-10-05 | tags: teaching bayesian statistics

Do we use multiple examples to highlight the same point, or do we take one example and layer on complexity? It all depends.

Read on... (187 words, approximately 1 minute reading time)

Dokku: Building an internal Heroku at work

written by Eric J. Ma on 2019-09-07 | tags: data apps data science devops deployment

Some of the benefits of using Dokku as a PaaS solution for data scientists. It's free, open source, and when paired with the right tools, enables data scientists to focus on making their data app prototypes.

Read on... (779 words, approximately 4 minutes reading time)

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