agile] [ datascience learning machinelearning python career productivity omscs production engineering lazada til business leadership communication agile recsys misc spark nlp deeplearning ]
Initially, I didn't like it. But over time, it grew on me. Here's why.
Automate your experimentation workflow to minimize effort and iterate faster.
Taking the best from agile and modifying it to fit the data science process (Part 2 of 2).
A deeper look into the strengths and weaknesses of Agile in Data Science projects (Part 1 of 2).
Yes, Agile can be adopted by data science teams. Moderating a panel at GovTech STACK.