Artificial Intelligence: A Modern Approach, 4th edition
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Overview
Artificial Intelligence is your guide to the theory and practice of modern AI. It introduces major concepts using intuitive explanations and nontechnical language, before going into mathematical or algorithmic details. In-depth coverage of both basic and advanced topics provides you with a solid understanding of the frontiers of AI without compromising complexity and depth. A unified approach to AI clearly details how the various subfields of AI fit together to build actual, useful programs.
The 4th Edition has been updated to stay current with the latest technologies as well as to present concepts in a more unified manner. New chapters feature expanded coverage of probabilistic programming, multiagent decision making, deep learning and deep learning for natural language processing. Revised coverage of computer vision, natural language understanding and speech recognition reflect the impact of deep learning methods on these fields.
Published by Pearson (December 21st 2021) - Copyright © 2021
ISBN-13: 9780137505135
Subject: Artificial Intelligence
Category: Introduction to Artificial Intelligence
Overview
- Introduction
- Intelligent Agents
- Solving Problems by Searching
- Search in Complex Environments
- Adversarial Search and Games
- Constraint Satisfaction Problems
- Logical Agents
- First-Order Logic
- Inference in First-Order Logic
- Knowledge Representation
- Automated Planning
- Quantifying Uncertainty
- Probabilistic Reasoning
- Probabilistic Reasoning over Time
- Probabilistic Programming
- Making Simple Decisions
- Making Complex Decisions
- Multiagent Decision Making
- Learning from Examples
- Learning Probabilistic Models
- Deep Learning
- Reinforcement Learning
- Natural Language Processing
- Deep Learning for Natural Language Processing
- Robotics
- Philosophy and Ethics of AI
- The Future of AI
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