关于此电子书
The book traces AI's evolution from symbolic approaches to modern deep learning, highlighting key milestones and paradigm shifts. It's intriguing to learn that AI systems can now learn from data without explicit programming, adapting and improving over time. Another fascinating area covered is how AI can understand and generate human language, bridging the communication gap between humans and machines.
The approach begins by defining intelligence and outlining the challenges in replicating human cognitive abilities. Progressing through knowledge representation techniques, machine learning algorithms, and natural language processing, the book culminates with a discussion of AI ethics and future trends, providing a comprehensive overview valuable for students, researchers, and professionals alike.
