**
Books
**

__Discrete Mathematics and Computing: A Set of Lectures,
by Magdon-Ismail (2019, Draft)__

A course on the fundamental mathematical tools
relevant to computer science, with application to
the theory of computing. Topics include logic, induction,
number theory, graphs, counting, probability, models of computing.

The book is the text for the author's class FOCS (Foundations of
Computer Science).

The book website dmc-book.com
contains supporting
material for instructors and readers. The supporting
material includes: slides and notation.

Where to get the book: Only available in draft form from the author for $50. (I am working on the price).

__Learning From Data, by Abu-Mostafa, Magdon-Ismail, Lin (2012)__

This is a short course, not a hurried course, that covers the
**fundamentals of machine learning**.

The book has been used as the
textbook for many machine learning courses around the world, including
the courses that the authors teach at their respective universities.

The book website amlbook.com
contains supporting
material for instructors and readers. The supporting
material includes: slides, notation, video
lectures, a discussion forum and data.

Where to get the book:
Amazon