Artificial Intelligence: Structures and Strategies for Complex Problem Solving

By:

Luger, George F

Publication details: Noida: Person , 2021Edition: 6Description: 754ISBN:

9789354493782

Subject(s):

DDC classification:

006.3 LUG

Summary: ideal for an undergraduate course in artificial intelligence, the sixth edition presents the fundamental concepts of the discipline first and then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. It includes perception and adaptation using neural networks and genetic algorithms, intelligent agents with ontologies, automated Reasoning, natural language analysis, and stochastic approaches to machine learning. New! Br>chapter 13, probabilistically-based machine learning covers stochastic methods that support machine learning.

List(s) this item appears in: New Arrivals for the Month of September - 2023 | New Arrivals for the Month of November - 2023

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Book	Alliance College of Engineering and Design	CSE & IT	006.3 LUG (Browse shelf(Opens below))	2	Available	E13242
Book	Alliance College of Engineering and Design	CSE & IT	006.3 LUG (Browse shelf(Opens below))	3	Available	E13243
Reference Book	Alliance College of Engineering and Design	CSE & IT	006.3 LUG (Browse shelf(Opens below))	1	Not for loan	E13241
Book	Alliance College of Engineering and Design	CSE & IT	006.3 LUG (Browse shelf(Opens below))		Available	E12080

Total holds: 0

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ideal for an undergraduate course in artificial intelligence, the sixth edition presents the fundamental concepts of the discipline first and then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. It includes perception and adaptation using neural networks and genetic algorithms, intelligent agents with ontologies, automated Reasoning, natural language analysis, and stochastic approaches to machine learning.
New! Br>chapter 13, probabilistically-based machine learning covers stochastic methods that support machine learning.

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