All Hands on Data #19
With the Autumnal Equinox behind us, fall into these articles that our team enjoyed in the past week.
Stretching my Legs in the Data Engineering Ecosystem in 2022
The post takes an interesting approach where the author juxtaposes his early experiences in the data field with the current environment. There are a number of juxtapositions but an interesting thing he points out is that even back then there was the core concept of ETL - the things that have changed are the amount and types of data available as well as the tools and resources (predominantly computing power) on-handed to data practitioners. Some things changes and some things stay the same. - John Forstmeier
The Machine Learning Lifecycle
As someone who just recently starting helping out on a ML project at Shipyard, this article gave me a better understanding of how the process should work. I found it helpful and hope others do too. - Jon Davidson
Unit 1: Optimization Theory
Coming from a background in classical numerical methods for optimization, the evolutionary approach is fascinating. I look forward to taking the deep dive with the course into how all of that works. From this first unit, Pareto Optimality and dominance are two terms I’ve never heard of before and interested to know more about. - Eric Elsken
Seizing the Low-Hanging Fruit in Business with Data Science
The most efficient way to save money and resources is to stop wasting them on efforts with little return. While this is rather intuitive, it is not always easy to determine which efforts to trim. Data science to the rescue. Liu talks about how data science helped provide decision makers with the complete picture. - Katt Baum
The Similarities of Solving Data Problems and Rubik’s Cubes
My uncle loved solving Rubik’s Cubes growing up, and he continually grew to larger and larger cubes to try and solve. This article made me smile when I saw the title, but I thought the picture that Sameer was painting across the article was great. I loved the parallel that he drew between data teams and Rubik’s Cubers especially when he said “Hope is not a strategy.” - Steven Johnson