Essential Math for AI: Next-Level Mathematics for Efficient
and Successful AI Systems – 1st Edition
By Hala Nelson | O'Reilly Media | 2023
The definitive mathematics guide for AI — written by
Dr. Hala Nelson, Professor of Mathematics and Ph.D.
from NYU. No heavy theorems, no proofs, no coding —
just clear, practical math that powers real AI systems.
What You Will Learn:
- Mathematical foundations of AI and machine learning
- Regression, neural networks, optimization and
backpropagation
- Convolution, Markov chains and random graphs
- Generative adversarial networks and large random matrices
- Mathematical logic and optimal control
- Real-world applications in computer vision and
natural language processing
Perfect For:
- Engineers and data scientists entering AI
- Machine learning practitioners brushing up on math
- Students in computer science, data science
and engineering
- Managers wanting deeper understanding of AI models
