Foundations of Machine Learning (ML) - Compilation of Resources

Compiled a list of books shared in the public domain for learning the foundational math and fundamentals of machine learning (ML):

• An Introduction to Statistical Learning
• Linear Algebra and Optimization for Machine Learning
• Real Analysis and Probability
• Grinstead and Snell’s Introduction to Probability
• Finite-Dimensional Vector Spaces
• Mathematics for Machine Learning
• Machine Learning: A Probabilistic Perspective
• Machine Learning: A Probabilistic Perspective (Advanced Topics)
• Foundations of Machine Learning - Second Edition
• Concise Machine Learning
• Introduction to Machine Learning

Note: Thank you to the commenters that provided practical feedback in the comments section and in the DMs on resources to add.