Girth matters? Data science is slowly becoming an irrational competition of computing power. Source.
Hi there – not sure how you ended up here, but this is the first post of my blog, and my second attempt at starting a blog – my first attempt around late 2016 to mid 2017 lacked a consistent theme, was all over the place in terms of content, and I gave up eventually. But now I’m back again.
I will focus primarily on two largely disparate themes in this blog:
- Data science, predictive analytics dashed with a more statistical treatment. Too much hacking and layer-stacking in deep learning, with too little statistical groundings is bad for data science.
- Retail investing in Singapore. Plenty of materials out there regarding retail investing in US/UK, but not enough for those of us who call the little red dot our home.
Posts of either topics will tagged accordingly with “datascience” or “investing” (or both). Version control for all coding (R/Python) and analysis will be open-sourced (location TBD). Target cadence for this blog is 2-3 posts per month. You can expect content along the following:
- Explanations of why/how certain statistical techniques work
- Explorations of new or popular R and Python packages. I will do these in Jupyter notebooks
- General/pragmatic retail investing hacks/tips specific to Singapore
- Updates on my portfolio
- Book reviews – could be books about data science, investing, or others
If this is the kind of content you are keen on, then stay tuned 🙂
The Stats Guy 