Professor Emeritus Omar Hijab has completed a book titled Math for Data Science. The 600-page work, published by Springer Nature, is now available.  Math for Data Science covers the parts of linear algebra, probability, statistics, and calculus relevant to data science, and applies these tools to principal component analysis, neural network training, and machine learning.  A preview is available here.