Introduction to the Theory of Computation

Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically

Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition

Artificial Intelligence in Finance: A Python-Based Guide

Practical Threat Intelligence and Data-Driven Threat Hunting: A hands-on guide to threat hunting with the ATT&CK™ Framework and open source tools

Designing Large Language Model Applications: A Holistic Approach to LLMs

The Machine Learning Solutions Architect Handbook: Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI

The Computer and the Brain (The Silliman Memorial Lectures Series)

An Introduction to Information Theory (Dover Books on Mathematics)