UID:
almahu_9949641607002882
Format:
1 online resource :
,
text file, PDF.
Edition:
Second edition.
ISBN:
9781351384391
,
1351384392
,
9781315144863
,
1315144867
,
9781351384377
,
1351384376
,
9781138502383
,
1138502383
,
9781351384278
,
1351384279
Series Statement:
Chapman & Hall/CRC Artificial Intelligence and Robotics Series
Content:
"The 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."--Provided by publisher.
Note:
Chapter 1 Introduction to Artificial Intelligence /
,
part I Logical Intelligence --
,
chapter 2 Propositional logic /
,
chapter 3 First-order logic /
,
chapter 4 Certain knowledge representation /
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chapter 5 Learning deterministic models /
,
part II Probabilistic Intelligence --
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chapter 6 Probability /
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chapter 7 Uncertain Knowledge Representation /
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chapter 8 Advanced Properties of Bayesian Networks /
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chapter 9 Decision Analysis /
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chapter 10 Learning Probabilistic Model Parameters /
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chapter 11 Learning Probabilistic Model Structure /
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chapter 12 Unsupervised learning and reinforcement learning /
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part III Emergent Intelligence --
,
chapter 13 Evolutionary computation /
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chapter 14 Swarm Intelligence /
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part IV Neural Intelligence --
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chapter 15 Neural Networks and Deep Learning /
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part V Language Understanding --
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chapter 16 Natural Language Understanding /
Additional Edition:
Print version: ISBN 9781138502383(Hardback)
Language:
English
DOI:
10.4324/9781315144900
URL:
https://www.taylorfrancis.com/books/9781315144863
Bookmarklink
