Introduction To Artificial Intelligence

Introduction to Artificial Intelligence
Publisher Courier Dover Publications
Release Date
Category Computers
Total Pages 544
ISBN 9780486832869
Rating 4/5 from 21 reviews
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Can computers think? Can they use reason to develop their own concepts, solve complex problems, understand our languages? This updated edition of a comprehensive survey includes extensive new text on "Artificial Intelligence in the 21st Century," introducing deep neural networks, conceptual graphs, languages of thought, mental models, metacognition, economic prospects, and research toward human-level AI. Ideal for both lay readers and students of computer science, the original text features abundant illustrations, diagrams, and photographs as well as challenging exercises. Lucid, easy-to-read discussions examine problem-solving methods and representations, game playing, automated understanding of natural languages, heuristic search theory, robot systems, heuristic scene analysis, predicate-calculus theorem proving, automatic programming, and many other topics.

Introduction to Artificial Intelligence
  • Author : Philip C. Jackson
  • Publisher : Courier Dover Publications
  • Release Date : 2019-08-14

Can computers think? Can they use reason to develop their own concepts, solve complex problems, understand our languages? This updated edition of a comprehensive survey includes extensive new text on "Artificial Intelligence in the 21st Century," introducing deep neural networks, conceptual graphs, languages of thought, mental models, metacognition, economic prospects,

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Artificial Intelligence
  • Author : Stuart Jonathan Russell,Peter Norvig
  • Publisher : Unknown
  • Release Date : 2003

Presents a guide to artificial intelligence, covering such topics as intelligent agents, problem-solving, logical agents, planning, uncertainty, learning, and robotics.

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Applied Artificial Intelligence Third Edition
  • Author : Gerardus Blokdyk
  • Publisher : 5starcooks
  • Release Date : 2018-10-13

How frequently do you track Applied Artificial Intelligence measures? Will Applied Artificial Intelligence have an impact on current business continuity, disaster recovery processes and/or infrastructure? How do you manage and improve your Applied Artificial Intelligence work systems to deliver customer value and achieve organizational success and sustainability? Can you

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Python Machine Learning by Example   Third Edition
  • Author : Yuxi (Hayden) Liu
  • Publisher : Unknown
  • Release Date : 2020-10-30

Python Machine Learning By Example, Third Edition serves as a comprehensive gateway into the world of machine learning (ML). With six new chapters, on topics including movie recommendation engine development with Naïve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of

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Python Machine Learning
  • Author : Sebastian Raschka
  • Publisher : Packt Publishing Ltd
  • Release Date : 2015-09-23

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough

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AI for Games  Third Edition
  • Author : Ian Millington
  • Publisher : CRC Press
  • Release Date : 2019-03-18

AI is an integral part of every video game. This book helps propfessionals keep up with the constantly evolving technological advances in the fast growing game industry and equips students with up-to-date infortmation they need to jumpstart their careers. This revised and updated Third Edition includes new techniques, algorithms, data

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Artificial Intelligence
  • Author : Stuart Russell,Peter Norvig
  • Publisher : Createspace Independent Publishing Platform
  • Release Date : 2016-09-10

Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.

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Python Machine Learning
  • Author : Sebastian Raschka,Vahid Mirjalili
  • Publisher : Packt Publishing Ltd
  • Release Date : 2019-12-12

Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning. Key Features Third edition of the bestselling, widely acclaimed Python machine learning book Clear and intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and

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Machine Learning with R
  • Author : Brett Lantz
  • Publisher : Packt Publishing Ltd
  • Release Date : 2019-04-15

Solve real-world data problems with R and machine learning Key Features Third edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.6 and beyond Harness the power of R to build flexible, effective, and transparent machine learning models Learn quickly with a clear, hands-on guide

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Methods and Tools for Applied Artificial Intelligence
  • Author : Popovic
  • Publisher : CRC Press
  • Release Date : 1994-05-02

This work provides a comprehensive and coherent introduction to the expanding field of Artificial Intelligence (Al), explaining how knowledge-based systems are built, what tools and technologies are relevant and available, and how to employ them in specific situations. It pays special attention to the commercial intelligence systems that emerged in

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Applied Machine Learning
  • Author : David Forsyth
  • Publisher : Springer
  • Release Date : 2019-07-12

Machine learning methods are now an important tool for scientists, researchers, engineers and students in a wide range of areas. This book is written for people who want to adopt and use the main tools of machine learning, but aren’t necessarily going to want to be machine learning researchers.

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Python Machine Learning   Third Edition
  • Author : Sebastian Raschka
  • Publisher : Unknown
  • Release Date : 2019

Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning. Key Features Third edition of the bestselling, widely acclaimed Python machine learning book Clear and intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and

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Current Approaches in Applied Artificial Intelligence
  • Author : Moonis Ali,Young Sig Kwon,Chang-Hwan Lee,Juntae Kim,Yongdai Kim
  • Publisher : Springer
  • Release Date : 2015-04-30

This book constitutes the refereed conference proceedings of the 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, held in Seoul, South Korea, in June 2015. The 73 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers cover a wide range of

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Advances in Applied Artificial Intelligence
  • Author : Fulcher, John
  • Publisher : IGI Global
  • Release Date : 2006-03-31

"This book explores artificial intelligence finding it cannot simply display the high-level behaviours of an expert but must exhibit some of the low level behaviours common to human existence"--Provided by publisher.

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Applied Artificial Intelligence
  • Author : Mariya Yao,Adelyn Zhou,Marlene Jia
  • Publisher : Unknown
  • Release Date : 2018-04-30

This bestselling book gives business leaders and executives a foundational education on how to leverage artificial intelligence and machine learning solutions to deliver ROI for your business.

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