Comment by bicx

I began my dive into ML a while back (remember when Data Science was the new hotness?) and quickly realized that a lot of the most interesting work really is "winner take all" in the sense that if you can't compete at the cutting edge of your field, you're really going to struggle to show value to your employers. As someone learning ML on the side with no plans to go all in, I decided just to learn how to use ML models as a tool and continue to focus on my main job as a software engineer.