This comment seems unnecessarily personal. The difference between the reading list and Grokking Machine Learning appears to be the layer of application. ‘Grokk

This comment seems unnecessarily personal. The difference between the reading list and Grokking Machine Learning appears to be the layer of application. ‘Grokking’s description indicates it is for a very applied role: “teaches you how to apply ML to your projects using only standard Python code and high school-level math”. The linked reading list appears to be targeted at one level up the stack so to speak. Instead of learning how to string a few Python libraries together (which is useful, not knocking it), the goal would possibly be writing the Python library itself for a ML architecture. Given the author’s position, it makes sense why they found the content of the latter useful in getting to that position.