The 2 opponents stroll into the ring, every claims to have the higher hand. The info scientist pulls out a silver ruler, the deep studying developer pulls out a gleaming hammer — who will construct the perfect mannequin?
In my earlier positions, I’ve labored as each a knowledge scientist and a deep studying algorithm developer. In case you ask me what the variations are between the 2, I’ve bought to say that it is not clear-cut.
Each take care of knowledge and machine studying fashions, and each use comparable success metrics and dealing rules.
So what makes them completely different?
I feel its the angle.
I’ll be daring and generalize that from my expertise, deep studying builders (particularly junior ones) are inclined to focus extra on the mannequin, whereas knowledge scientists do the other — they analyze and manipulate the info such that nearly any mannequin will do the trick.
Or, ought to I dare to simplify it even additional and say that:
Deep Studying = Mannequin Oriented