Publisher's Synopsis
This book provides a comprehensive and practical guide to Artificial Intelligence, designed to equip readers with the knowledge and skills necessary to understand and build AI applications.1 From foundational machine learning algorithms to advanced deep learning techniques, the text covers a wide range of topics with a focus on hands-on implementation using Python. It emphasizes ethical considerations, emerging trends like Explainable AI and Generative AI, and offers practical guidance on deploying AI models in real-world scenarios. The appendices serve as valuable resources, covering essential Python libraries, AI terminology, datasets, troubleshooting, and the mathematical underpinnings of key algorithms, making it an ideal resource for both beginners and those seeking to deepen their understanding of AI.
