What are the best textbooks to study in order to learn math for ML?

So I never really found a practical use for mathematics while I was in school, so I never really paid attention to it, basically just studied for grades. Now that I have some interest in ML, I have come to realize that I suck at math. Help me fix that, my ultimate goal being the ability to work through Bishop's Pattern Recognition and Machine Learning or being able to understand ML papers. I know I mostly need Probability, Statistics, Calculus and Linear Algebra. For now I'm studying precalc (Stewart). Next steps are:

Probability: Introduction to Probability - Blitzstein & Hwang.

Statistics: Introduction to Mathematical Statistics - Hogg & al.

Calculus: Calculus, Early Transcendentals - James Stewart & al.

Linear Algebra: Introduction to Linear Algebra - Gilbert Strang.

What are your picks in those subject? Are these enough?

Edit: preferably books that use the metric system.