written by Eric J. Ma on 2018-02-20 | tags: data science education teaching deep learning
Or: "Why having a good teacher was so instrumental in my learning of deep learning."
Read on... (210 words, approximately 2 minutes reading time)written by Eric J. Ma on 2018-02-13 | tags: software engineering data science
In which I argue why data scientists need to know how to write good APIs, or more generally, have basic software development skills.
Read on... (133 words, approximately 1 minute reading time)written by Eric J. Ma on 2018-02-07 | tags: bayesian statistics data science
Further thoughts on whether Bayesian models overfit.
Read on... (173 words, approximately 1 minute reading time)written by Eric J. Ma on 2018-02-06 | tags: pycon conferences python
My reflections on reviewing talk proposals for PyCon 2018.
Read on... (2341 words, approximately 12 minutes reading time)written by Eric J. Ma on 2018-01-29 | tags: jupyter data science software engineering
In which I argue why we should refactor code out of Jupyter notebooks as soon as possible.
Read on... (167 words, approximately 1 minute reading time)written by Eric J. Ma on 2018-01-18 | tags: bayesian software development open source data science
I made a few pull requests to PyMC3! Come read about them :).
Read on... (428 words, approximately 3 minutes reading time)written by Eric J. Ma on 2018-01-10 | tags: work digital decluttering productivity
I came to realize how important digital offline time is.
Read on... (136 words, approximately 1 minute reading time)written by Eric J. Ma on 2018-01-08 | tags: bayesian data science statistics
When is uncertainty useful? A short thought.
Read on... (69 words, approximately 1 minute reading time)written by Eric J. Ma on 2017-12-13 | tags: software development tooling hacks productivity data science
VSCode is, for me, proof of a new Microsoft, one that is no longer open-source hostile! Read on to see my mini-review of VSCode too.
Read on... (389 words, approximately 2 minutes reading time)written by Eric J. Ma on 2017-11-30 | tags: pydata conferences python
My notes from what I learned at PyData NYC 2017!
Read on... (1407 words, approximately 8 minutes reading time)