If you’d like to position yourself for AI projects/teams one year or less from now, what would be the best/fastest way to learn, and which topics in what order? Is it mandatory to have experience in the field to join such teams? A nice outcome of this discussion would be an ordered list of resources to digest. Thx!
Bump
The Data Scientists who can’t code for crap won’t accept you into their tribe unless you have a PHD. On the other hand, the majority of ”AI Engineering” is just nuts and bolts engineering. If I were attempting to build credibility without holding an appropriate position I would contribute to open source projects like Spark, H2O.ai, R, etc and I would do some Kaggle contests and post the work in my public GitHub. Resources? If O’Reilly doesn’t have books for tensorflow, R, and Spark I’ll eat my hat.
Seems it’s a hard one... 🙄