Description
First Course In Artificial Intelligence provides a thorough introduction to the foundational concepts and techniques of artificial intelligence. This textbook, authored by Deepak Khemani and published by McGraw Hill Education, is designed to equip students with essential knowledge in AI fundamentals.
The book covers core topics including problem-solving methodologies, search algorithms, knowledge representation, reasoning systems, and machine learning basics. With clear explanations and practical examples, it bridges the gap between theoretical concepts and real-world applications. The structured approach makes it suitable for beginners while maintaining sufficient depth for comprehensive understanding.
Each chapter includes exercises and examples that reinforce learning and help students apply concepts to practical scenarios. The content is organized logically, building from basic principles to more complex topics, making it an ideal resource for first-time learners in artificial intelligence and computer science programs.
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