You're welcome! FWIW I mostly agree with argonaut's point elsewhere in this thread - very few people successfully self-teach ML from a textbook alone. So whichever book(s) you choose, it might also be worth working through some course materials. I've already suggested Stanford's CS229 for solid foundations, but depending on your interests in bioinformatics, Daphne Koller's Coursera course on probabilistic graphical models (https://www.coursera.org/learn/probabilistic-graphical-model...) might be especially relevant. Koller literally wrote the book on PGMs, has done a lot of work in comp bio, and her MOOC is apparently the real deal: very intense but well-reviewed by the people that make it through.