One minor point is that you don't mention some fundamentals of the machine learning process, like making sure to evaluate your models on a different data set than you used to train your models.

Another point is that this article is really about how to learn deep learning, not how to get a job. I would really like to see some evidence that: "The good news is that basically everyone is hiring people that understand deep learning." Most data scientist jobs I have seen don't require or use deep learning.

I've begun looking for resources to learn deep learning / machine learning with the hopes of getting a job in the field within the next few years, what other fields of math would you recommend brushing up on before beginning to use some of the online sources specified in your post?