What is the best way to go about learning Fastai?
I know what to learn, I’m interested in the strategies that work best to get the most important information into my head.
Should I speed through the course work because I’m only going truly grasp these concepts when I apply them to projects?
Should I take my time, make notes, rebuild all the codes that are in the book?
Are both these approaches wrong?
I understand that it depends on you as a person, so please don’t say that.
I’m still learning too, so I can’t give you a definite answer, but here’s what someone posted that I found useful:
Also, joining a study group is useful. Machine Learning Tokyo organizes several different virtual weekly study sessions. For example this was the last session I attended:
Next meeting of this particular study group, hosted by the very helpful and knowledgeable Sanyam Bhutani, is on October 17th, as we’re exceptionally taking a break on the coming Saturday.