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... (384 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... (1394 words, approximately 7 minutes reading time)written by Eric J. Ma on 2017-11-16
Yesterday, after I did my Boston Bayesians dry run talk, there was a point raised that I had only heard of once before: Bayesian learning methods don't overfit. Which means we're allowed to use all the data on hand. The point holds for simple... (read more)
(545 words, approximately 3 minutes reading time)written by Eric J. Ma on 2017-11-14 | tags: quotes musings thoughts
Some thoughts I have had on "thinking simply" about a problem.
Read on... (325 words, approximately 2 minutes reading time)written by Eric J. Ma on 2017-11-03 | tags: talks data science bayesian
I'm about to give a talk on Bayesian deep learning!
Read on... (65 words, approximately 1 minute reading time)written by Eric J. Ma on 2017-10-31 | tags: bayesian data analysis poisson likelihood statistics data checking sanity check data testing negative infinity event cycle times data bounds central tendency data spread variance quartile range data science lessons learned
Today, I learned a hard lesson about data checking when I spent 1.5 hours trying to fit a Poisson likelihood to negative values 🤦♂️. Always sanity check your data for basic stats like bounds, central tendency, and spread. Lesson learned! 😅
Read on... (130 words, approximately 1 minute reading time)written by Eric J. Ma on 2017-10-27 | tags: data science machine learning random forest
Why I think random forests are a great baseline machine learning model.
Read on... (419 words, approximately 3 minutes reading time)written by Eric J. Ma on 2017-10-22 | tags: network science graph theory programming python code snippets data science
A mini-tutorial on network propagation, and how the math behind it works.
Read on... (794 words, approximately 4 minutes reading time)