Frameworks and Models of Artificial Intelligence: Integrating Theory With Practice offers a comprehensive exploration of AI concepts, bridging foundational theories with real-world applications. This book delves into essential AI models—including machine learning, neural networks, and expert systems—while examining leading frameworks such as TensorFlow, PyTorch, and Scikit-learn. Designed for students, researchers, and professionals, it provides hands-on examples, case studies, and practical implementations across diverse domains. With a clear focus on both conceptual clarity and practical utility, this volume empowers readers to build intelligent systems, innovate with emerging tools, and apply AI solutions effectively in various industries and research settings.
