These notes are my working notes while reading Measure, Integration & Real Analysis by Sheldon Axler, which is freely available online at http://
The goal is not completeness, but a solid understanding of the core ideas that matter for probability theory and modern machine learning.
Any errors, inaccuracies, or mistakes in these notes or in the solutions to the exercises are entirely my own.