Kanwal Mehreen compares loss functions:
I must say, with the ongoing hype around machine learning, a lot of people jump straight to the application side without really understanding how things work behind the scenes. What’s our objective with any machine learning model, anyway? You might say, “To make accurate predictions.” Fair enough.
But how do you actually tell your model, “You’re close” or “You’re way off”? How does it know it made a mistake — and by how much?
That’s where loss functions come in.
Read on to learn what loss functions are, how they work, and when you might want to choose each.