goto grad school and write papers. you can explore topics that interest you more deeply, and while you may not know everything about a large topic like ML, you

goto grad school and write papers. you can explore topics that interest you more deeply, and while you may not know everything about a large topic like ML, you can focus in on a specific sub-topic and become the world's leading expert. https://www.datarobot.com/blog/a-primer-on-deep-learning/ https://www.datarobot.com/blog/a-primer-on-deep-learning/ You probably know most of the information in this post about ML, but this picture at the top shows what researchers are trying to discover about ML. Basically, researchers are inspecting the middle layers of neural networks to determine patterns. It's kinda a backwards approach to understanding nn's, as we already can use them without understanding them, but this should show that there's opportunity to really dive into these "deep" questions in academia. I think this is the actual paper, but it seems to have a wider topic: http://www.cs.toronto.edu/~rgrosse/icml09-cdbn.pdf http://www.cs.toronto.edu/~rgrosse/icml09-cdbn.pdf