My advice would be to figure out what you want to do more concretely. Machine Learning / Data Science is a big field, if you have more concrete goal I think it would be easier.
If you are serious about deep learning I would recommend this book instead: http://www.deeplearningbook.org It is coming out next month, but you can view the entire book online.
I work full-time as an ML Engineer at a big tech company in Silicon Valley. I think most ML Engineers do not read papers and do not do low level programming. They mostly do feature engineering.
Actually I feel like I forgot a lot of math since university and I would like to pick it up again. Does anyone have a resource they can recommend either for self-study or in person?