Artificial Intelligence: With an Introduction to Machine Learning, Second Edition

Richard E. Neapolitan, Xia Jiang

May 16, 2018 by Chapman and Hall/CRC
Textbook - 466 Pages - 211 B/W Illustrations
ISBN 9781138502383 - CAT# K39475
Series: Chapman & Hall/CRC Artificial Intelligence and Robotics Series

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Features

  • Focuses on AI-based algorithms that are currently used to solve diverse problems
  • Enables students to solve problems and improve their computer science skills
  • Introduces difficult concepts with simple, accessible examples
  • Covers large-scale applications of probability-based methods
  • Includes new material on neural networks and deep learning
  • Provided with this edition are power point presentations and videos covering the most fundamental material

Summary

The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods.

The book is divided into five sections that focus on the most useful techniques that have emerged from AI. The first section of the book covers logic-based methods, while the second section focuses on probability-based methods. Emergent intelligence is featured in the third section and explores evolutionary computation and methods based on swarm intelligence. The newest section comes next and provides a detailed overview of neural networks and deep learning. The final section of the book focuses on natural language understanding.

Suitable for undergraduate and beginning graduate students, this class-tested textbook provides students and other readers with key AI methods and algorithms for solving challenging problems involving systems that behave intelligently in specialized domains such as medical and software diagnostics, financial decision making, speech and text recognition, genetic analysis, and more.

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