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Overview: This third edition comprehensively captures the cutting-edge research achievements of Artificial Intelligence (AI). Topics are thoroughly revised and updated, presenting the latest techniques and strategies to address the impending challenges facing computer scientists today. Artificial Intelligence is a branch of Computer Science and is a discipline to study machine intelligence that uses artificial methods and techniques, develops intelligent machines or intelligent systems to emulate, extend, and expand human intelligence, and realizes intelligent behavior. Machine Learning is the study of how computers can simulate or implement human learning behavior to acquire new knowledge or skills, and reorganize existing knowledge structures to continuously improve their own performance. Only by allowing computer systems to have human-like learning capabilities can it be possible to achieve human-level Artificial Intelligence. Machine Learning is one of the core issues in Artificial Intelligence research and is a very active research field in current Artificial Intelligence theoretical research and practical applications. Common Machine Learning methods include inductive learning, analogy learning, analytical learning, reinforcement learning, genetic algorithm, and connection learning. Deep Learning is a new field in Machine Learning research. It imitates the analysis and learning mechanism of human brain neural networks to interpret images, sound, and text data. Any progress in Machine Learning research will promote the improvement of Artificial Intelligence.
Genre: Non-Fiction > Tech & Devices
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