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 Category: Five-Minute Friday
Getting Started in Machine Learning
On last Friday’s episode, I answered questions from podcast listeners on the “futureproof-ness” of a data science career. This week, I’m answering a few more listener-submitted questions about getting start in ML, particularly if you’re completely new to the field!
From MOOCs, to free videos, to graduate level textbooks, I cover a wide or materials that you can use to become an expert in machine learning.
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Future-Proofing Your Career
At the beginning of 2021, I asked the following on Twitter: “What questions do you have about machine learning as a science or as a career?”
In response, I was asked some terrific questions about data science, many of which are popular ones that I’ve been asked time and again. In today’s FiveMinuteFriday, I’ll answer the ones I thought would be most valuable for everyone to hear the answer to.
Gabriel, who appears to be Brazillian, but indicates his location is “Lost + Found” asked me:
“Is a career in data science really future-proof? What are the odds of another AI winter and a crisis in this career?”
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