The more leadership responsibility you take on as a data scientist or engineer, the more you accept that can't stay on top of the cutting-edge innovations as much as you might like. Nor do you get to spend as much time as you'd like writing code.
...and that's for the best. It's what what your team and your company need from you.
Filtering by Tag: management
Scaling Up Machine Learning
Erica Greene, engineering manager at Etsy, joins me to discuss production machine learning applications. This is a great episode for practicing data scientists as well as ML engineer beginners! Topics include:
Choosing the correct production ML software library
Critical areas of expertise ML engineers should strive to master
Setting up guardrails to avoid (frightening!) feature drift
Whether a PhD is advantageous if you apply ML in industry
Loved having Erica on the episode because I learned a lot and had a great time. Full Transcript available here.