Title: Artificial Intelligence: A Guide for Thinking Humans (With a New Preface), Author: Melanie Mitchell
Title: Practical Deep Learning, 2nd Edition: A Python-Based Introduction, Author: Ronald T. Kneusel
Title: Deep Learning with Python, Third Edition, Author: Francois Chollet
Title: How Large Language Models Work, Author: Edward Raff
Title: Investing for Programmers, Author: Stefan Papp
Title: Essential GraphRAG: Knowledge Graph-Enhanced RAG, Author: Tomaz Bratanic
Title: Coding with AI: Examples in Python, Author: Jeremy Morgan
Title: Data-Driven Cybersecurity: Reducing risk with proven metrics, Author: Mariano Mattei
Title: Data Without Labels: Practical unsupervised machine learning, Author: Vaibhav Verdhan
Title: The AI Pocketbook, Author: Emmanuel Maggiori
Title: Impact Evaluation in Firms and Organizations: With Applications in R and Python, Author: Martin Huber
Title: Deep Learning for Biology: Harness AI to Solve Real-World Biology Problems, Author: Charles Ravarani
Title: Learning Github Copilot: Multiplying Your Coding Productivity Using AI, Author: Brent Laster
Title: Data as the Fourth Pillar: An Executive Guide for Scaling AI, Author: Sujay Dutta
Title: Deep Learning Generalization: Theoretical Foundations and Practical Strategies, Author: Liu Peng
Title: Scaling Graph Learning for the Enterprise: Production-Ready Graph Learning and Inference, Author: Ahmed Menshawy
Title: Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things, Author: Pankaj Bhambri
Title: Deep Learning: A Beginners' Guide, Author: Dulani Meedeniya
Title: Artificial Intelligence and Machine Learning: An Intelligent Perspective of Emerging Technologies, Author: Rohit Tanwar
Title: Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications, Author: Bhanu Chander

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