Six Things I've Learned from Studying Machine Learning

It's all exciting stuff, and I've been studying it for my master's degree. But outside of the classroom, outside of computers, what has it taught me about life? This is especially true with neural networks. When a machine learning algorithm correctly identifies a solution, most of the time no adjustments to any of the parameters (called "weights") are made. But if the algorithm is wrong, these weights are nudged so that the next time the algorithm guesses at a solution, it's closer to the right answer.