My Conversation with Local Tech Leaders
Part of the reason I joined the tech space and SingleStone was so that I could wear a baseball hat and t-shirt every day and learn cool things…
Discussing the power — and pitfalls — of advanced analytics.
Part of the reason I joined the tech space and SingleStone was so that I could wear a baseball hat and t-shirt every day and learn cool things…
It’s no surprise that collaboration within and across teams is critical to productivity, but it’s surprising how hard it is to get right. Consider that in a 2017…
TLDR Here are a few tips to add to your Python projects to increase robustness and quality: Type hinting Pure functions Leaving init.py alone Pylinting Using data classes…
We are waist-deep in the information age. The ability to collect, ingest, process, and simply access data from many different resources is critical to maintaining a competitive edge…
People and work patterns change year after year—with or without a pandemic. But data shows that COVID-19 has caused a monumental shift in our work patterns today. Which,…
Many businesses are starting to see the benefits of capturing quality data. With data, businesses make better, more informed decisions; strategically approach problems; invest in the right things;…
So far in our MLOps journey, see MLOps Basics (Parts I-III), we have created ML research and ML model-building pipelines as well as saved them in serialized form. Saving models this way allows us…
Continue ReadingPart I: What is MLOps? MLOps (Machine Learning Operations) is the practice of combining the lessons learned from DevOps for the productionalization of machine learning. Its role is…
One of the things that drew me to data 25 years ago was its very intimate, non-obtrusive way of telling the human story. It seems weird given how we perceive data engineering as…