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Artificial Intelligence in the 21st Century
Artificial Intelligence in the 21st Century

Artificial Intelligence in the 21st Century: The Future of Technology and Human Innovation

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Profile Icon Mercury Learning and Information Profile Icon Danny Kopec Profile Icon Stephen Lucci Profile Icon Sarhan M. Musa
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₱579.99 ₱5103.99
eBook Jul 2024 739 pages 1st Edition
eBook
₱579.99 ₱5103.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon Danny Kopec Profile Icon Stephen Lucci Profile Icon Sarhan M. Musa
Arrow right icon
₱579.99 ₱5103.99
eBook Jul 2024 739 pages 1st Edition
eBook
₱579.99 ₱5103.99
eBook
₱579.99 ₱5103.99

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Key benefits

  • Comprehensive coverage of AI topics from basics to advanced
  • Practical implementation guides and examples
  • Insights into the future of AI and its impact on various industries

Description

This third edition provides a comprehensive, accessible presentation of AI, including examples, applications, full-color images, and human interest boxes. New chapters on deep learning, AI security, and AI programming keep the content cutting-edge. Topics like neural networks, genetic algorithms, natural language processing, planning, and complex board games are covered. The course starts with an AI overview, moving through uninformed search, intelligent search methods, and game-based strategies. It delves into logic in AI, knowledge representation, production systems, uncertainty in AI, and expert systems. Middle chapters cover machine learning, neural networks, and deep learning. It continues with nature-inspired search methods, natural language processing, and automated planning, ending with robotics and advanced computer games. These AI concepts are crucial for developing sophisticated AI applications. This book transitions you from novice to proficient AI practitioner, equipped with practical skills and comprehensive knowledge. Companion files with resources, simulations, and figures enhance learning. By the end, you'll understand AI principles and applications, ready to tackle real-world challenges.

Who is this book for?

Students and professionals in computer science and engineering will find this book invaluable. A basic understanding of programming and mathematics is recommended. Ideal for those seeking a thorough understanding of AI concepts and applications.

What you will learn

  • Understand AI fundamentals
  • Implement search algorithms
  • Explore machine learning
  • Develop expert systems
  • Delve into neural networks
  • Master natural language processing

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 23, 2024
Length: 739 pages
Edition : 1st
Language : English
ISBN-13 : 9781836648703
Category :

What do you get with eBook?

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Product Details

Publication date : Jul 23, 2024
Length: 739 pages
Edition : 1st
Language : English
ISBN-13 : 9781836648703
Category :

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Table of Contents

28 Chapters
Acknowledgments (Three Editions) Chevron down icon Chevron up icon
Credits for the 3rd Edition Chevron down icon Chevron up icon
Part 1: Introduction Chevron down icon Chevron up icon
Chapter 1 Overview of Artificial Intelligence Chevron down icon Chevron up icon
Part II: Fundamentals Chevron down icon Chevron up icon
Chapter 2 Uninformed Search Chevron down icon Chevron up icon
Chapter 3 Informed Search Chevron down icon Chevron up icon
Chapter 4 Search Using Games Chevron down icon Chevron up icon
Chapter 5 Logic in Artificial Intelligence Chevron down icon Chevron up icon
Chapter 6 Knowledge Representation Chevron down icon Chevron up icon
Chapter 7 Production Systems Chevron down icon Chevron up icon
Part III: Knowledge-Based Systems Chevron down icon Chevron up icon
Chapter 8 Uncertainty in AI Chevron down icon Chevron up icon
Chapter 9 Expert Systems Chevron down icon Chevron up icon
Chapter 10 Machine Learning : Part I Neural Networks Chevron down icon Chevron up icon
Chapter 11 Machine Learning : Part II Deep Learning Chevron down icon Chevron up icon
Chapter 12 Search Inspired by Mother Nature Chevron down icon Chevron up icon
Part IV: Advanced Topics Chevron down icon Chevron up icon
Chapter 13 Natural Language Understanding Chevron down icon Chevron up icon
Chapter 13 Natural Language Understanding
13.0 Introduction
13.1 Overview: The Problems and Possibilities of Language
13.1.1 Ambiguity
13.2 History of Natural Language Processing (NLP)
13.2.1 Foundations (1940s and 1950s)
13.2.2 Symbolic vs. Stochastic Approaches (1957–1970)
13.2.3 The Four Paradigms: 1970–1983
13.2.4 Empiricism and Finite-State Models
13.2.5 The Field Comes Together: 1994–1999
13.2.6 The Rise of Machine Learning
13.3 Syntax and Formal Grammars
13.3.1 Types of Grammars
13.3.2 Syntactic Parsing: The CYK Algorithm
13.4 Semantic Analysis and Extended Grammars
13.4.1 Transformational Grammar
13.4.2 Systemic Grammar
13.4.3 Case Grammars
13.4.4 Semantic Grammars
13.4.5 Schank’s Systems
13.5 Statistical Methods in NLP
13.5.1 Statistical Parsing
13.5.2 Machine Translation (Revisited) and IBM’s Candide System
13.5.3 Word Sense Disambiguation
13.6 Probabilistic Models for Statistical NLP
13.6.1 Hidden Markov Models
13.6.2 The Viterbi Algorithm
13.7 Linguistic Data Collections for Statistical NLP
13.7.1 The Penn Treebank Project
13.7.2 WordNet
13.7.3 Models of Metaphor in NLP
13.8 Applications: Information Extraction and Question Answering Systems
13.8.1 Question Answering Systems
13.8.2 Information Extraction
13.9 Present and Future Research (according to Charniak)
13.10 Speech Understanding
13.10.1 Speech Understanding Techniques
13.11 Applications of Speech Understanding
13.11.1 Dragon’s NaturallySpeaking System and Windows’ Speech Recognition System
13.11.2 CISCO’s Voice System
13.12 Chapter Summary
Chapter 14 Automated Planning Chevron down icon Chevron up icon
Part V: The Present and Future Chevron down icon Chevron up icon
Chapter 15 Robotics Chevron down icon Chevron up icon
Chapter 16 Advanced Computer Games Chevron down icon Chevron up icon
Chapter 17 Reprise Chevron down icon Chevron up icon
Part VI: Security and Programming (Optional) Chevron down icon Chevron up icon
Chapter 18 Artificial Intelligence in Security (Optional) Chevron down icon Chevron up icon
Chapter 19 Artificial Intelligence Programming Tools (Optional ) Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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