I've been 5 years in FAANG, "Jack of all trades, master of none" engineer with frontend/backed experience.
Wanting to get deep into a field, ML seemed like the one with the most potential for positive impact on the world.
I've been struggling with sticking to learning ML as a lot of projects seem to be some clarification (cat vs dogs, etc.) or a regression task (predict sales count, ..).
What was your motivation for sticking to ML? Did you find the projects mentioned above interesting?
Wanting to get deep into a field, ML seemed like the one with the most potential for positive impact on the world.
I've been struggling with sticking to learning ML as a lot of projects seem to be some clarification (cat vs dogs, etc.) or a regression task (predict sales count, ..).
What was your motivation for sticking to ML? Did you find the projects mentioned above interesting?