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Engine studying: Supervised, unsupervised, and reinforcement understanding Neural networks: Essentials, architectures, and applications Expert processes: Data representation, inference engines, and applications

Overview to AI: Meaning, history, and scope of AI Smart networks: Types, characteristics, and applications Engine studying: Supervised

Engine understanding: Supervised, uncontrolled, and reinforcement learning Biological networks: Fundamentals, architectures, and programs Specialist processes: Information representation, inference engines, and programs and reinforcement understanding Neural networks: Essentials

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