000			02873nam a22002537a 4500
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008			210129b ||||| |||| 00| 0 eng d
020			_a9780367571641
082			_a006.3 _bNEA
100			_aNeapolitan, Richard E. _92160
245			_aArtificial intelligence: with an introduction to machine learning
250			_a2nd
260			_bCRC Press _aLondon _c2018
300			_axiii, 466 p.
365			_aGBP _b42.99
490			_aArtificial intelligence and robotics
504			_aTable of Contents 1. Introduction to Artificial Intelligence Part I LOGICAL INTELLIGENCE 2. Propositional Logic 3. First-Order Logic 4. Certain Knowledge Representation 5. Learning Deterministic Models PART II PROBABILISTIC INTELLIGENCE 6. Probability 7. Uncertain Knowledge Representation 8. Advanced Properties of Bayesian Network 9. Decision Analysis 10. Learning Probabilistic Model Parameters 11. Learning Probabilistic Model Structure 12. Unsupervised Learning and Reinforcement Learning PART III EMERGENT INTELLIGENCE 13. Evolutionary Computation 14. Swarm Intelligence PART IV NEURAL INTELLIGENCE 15. Neural Networks and Deep Learning PART V LANGUAGE UNDERSTANDING 16. Natural Language Understanding
520			_aThe first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods. The book is divided into five sections that focus on the most useful techniques that have emerged from AI. The first section of the book covers logic-based methods, while the second section focuses on probability-based methods. Emergent intelligence is featured in the third section and explores evolutionary computation and methods based on swarm intelligence. The newest section comes next and provides a detailed overview of neural networks and deep learning. The final section of the book focuses on natural language understanding. Suitable for undergraduate and beginning graduate students, this class-tested textbook provides students and other readers with key AI methods and algorithms for solving challenging problems involving systems that behave intelligently in specialized domains such as medical and software diagnostics, financial decision making, speech and text recognition, genetic analysis, and more. https://www.crcpress.com/Artificial-Intelligence-With-an-Introduction-to-Machine-Learning-Second/Neapolitan-Jiang/p/book/9781138502383
650			_aArtificial intelligence _91478
650			_aIntelligent systems _92386
650			_aMachine learning _92343
700			_aJiang, Xia _92387
942			_2ddc _cBK