I built ML application in my domain which helped demonstrate my capabilities.Networked a fair bit within my company and then got the chance to lead a ML team. Whole process took about 2 years.meanwhile self educated myself continuously over last 3 years. Spent min 20 hours a week coding, reading, learning and discussing ML. Joined ML learning groups helped other folks and learned through their journeys as well.
ML is unfortunately better done in a big company due to data but also a b*Ch due to tremendous friction within org to get things done.
Another key strategy is to commit yourself to build an end 2end ML application, structure your learning around it. I found this a tremendous technique to turbo charge my learning.
ML is unfortunately better done in a big company due to data but also a b*Ch due to tremendous friction within org to get things done.
Another key strategy is to commit yourself to build an end 2end ML application, structure your learning around it. I found this a tremendous technique to turbo charge my learning.