About this Blog

Although I am interested in many things, this blog is focused on the disciplines of data science, ML engineering and operations. Given that these are nebulous and over-used catch-all phrases I’ll be more specific - this is a blog about everything that’s involved in turning raw data into information that one could do something with, via tangible end products that deliver value to someone or something.

As I see it, this covers the methods and tools used for:

  • data ingestion, storage and transformation;
  • feature engineering;
  • training models;
  • engineering end-to-end ML systems; and,
  • automating the production of results, decisions and actions of any kind.

I am particularly interested in Python and the ‘PyData stack’ (NumPy, Pandas, Scikit-Learn, PyTorch, PYMC3, …), Apache Spark, Docker and Kubernetes - all from an OS X user’s frame of reference. These are my day-to-day tools along with pencil and (squared) paper.