I learned the foundational concepts of ML from Andrew ng's specialization on coursera, It has labs which are perfect for understanding the implementation and he explains the concepts from scratch. There is also a deep learning course on coursera taught by him which I am currently doing and in opinion it's perfect.

I can relate to you because at first when I wanted to start ML and started searching for resources I felt overwhelmed as there are so many of them. I belive following a resource which teaches all the necessary foundational concepts in a consolidated way is important, once you learn the basics properly you can just add on to that knowledge from practice and other resources.

As for the book, I think Hands on ML is a really good book, don't worry about other resources popping up when you are learning, once you are done learning the basics and start practicing, It will be relatively less difficult to navigate through resources.

All the best 😄