Learning through practical challenges and building projects is an effective approach for mastering machine learning.For ML engineering roles, deep math expertise may not always be necessary; focusing on engineering skills is valuable.Python is essential, and understanding core algorithms and supervised learning algorithms is recommended.Deploying projects, using frameworks like AWS or Azure, and clarifying career goals are essential steps to excel in ML engineering.