Artifical Intelligence: A Modern Approach / Stuart Russell.

By:

Russell, Stuart

Contributor(s):

Norvig, Peter

Material type: Text

TextLanguage: English Publication details: India : Pearson India Education Services Pvt Ltd, 2022.Edition: 4th edDescription: 1288 p. : ill. ; 24 cmISBN:

9789356063570

Uniform titles:

Artifical Intelligence: A Modern Approach

Subject(s):

DDC classification:

23 006.3 RUS

Contents:

1 Introduction 2 Intelligent Agents 3 Solving Problems by Searching 4 Search in Complex Environments 5 Constraint Satisfaction Problems 6 Adversarial Search and Games 7 Logical Agents 8 First-Order Logic 9 Inference in First-Order Logic 10 Knowledge Representation 11 Automated Planning 12 Quantifying Uncertainty 13 Probabilistic Reasoning 14 Probabilistic Reasoning over Time 15 Making Simple Decisions 16 Making Complex Decisions 17 Multiagent Decision Making 18 Learning from Examples 19 Knowledge in Learning 20 Learning Probabilistic Models 21 Deep Learning 22 Reinforcement Learning 23 Natural Language Processing 24 Deep Learning for Natural Language Processing 25 Robotics 26 Computer Vision 27 Philosophy and Ethics of AI 28 Future of AI 29 Probabilistic Programming (Online)

Summary: The long-anticipated revision of Artificial Intelligence: A Modern Approach explores the full breadth and depth of the field of artificial intelligence (AI). The 4th Edition brings readers up to date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multiagent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Text Books	CUTN Central Library Generalia	Non-fiction	006.3 RUS (Browse shelf(Opens below))	Available		48167

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1 Introduction
2 Intelligent Agents
3 Solving Problems by Searching
4 Search in Complex Environments
5 Constraint Satisfaction Problems
6 Adversarial Search and Games
7 Logical Agents
8 First-Order Logic
9 Inference in First-Order Logic
10 Knowledge Representation
11 Automated Planning
12 Quantifying Uncertainty
13 Probabilistic Reasoning
14 Probabilistic Reasoning over Time
15 Making Simple Decisions
16 Making Complex Decisions
17 Multiagent Decision Making
18 Learning from Examples
19 Knowledge in Learning
20 Learning Probabilistic Models
21 Deep Learning
22 Reinforcement Learning
23 Natural Language Processing
24 Deep Learning for Natural Language Processing
25 Robotics
26 Computer Vision
27 Philosophy and Ethics of AI
28 Future of AI
29 Probabilistic Programming (Online)

The long-anticipated revision of Artificial Intelligence: A Modern Approach explores the full breadth and depth of the field of artificial intelligence (AI). The 4th Edition brings readers up to date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multiagent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI.

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