Artifical Intelligence: A Modern Approach /
Russell, Stuart.
Artifical Intelligence: A Modern Approach / Stuart Russell. - 4th ed. - India : Pearson India Education Services Pvt Ltd, 2022. - 1288 p. : ill. ; 24 cm.
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.
9789356063570
Deep Learning
Inference in First-Order Logic
First-Order Logic
Knowledge Representation
Probabilistic Models
006.3 / RUS
Artifical Intelligence: A Modern Approach / Stuart Russell. - 4th ed. - India : Pearson India Education Services Pvt Ltd, 2022. - 1288 p. : ill. ; 24 cm.
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.
9789356063570
Deep Learning
Inference in First-Order Logic
First-Order Logic
Knowledge Representation
Probabilistic Models
006.3 / RUS