![](/uploads/1/2/6/8/126841524/551089965.jpg)
Read or Download Now Download) Artificial Intelligence: A.
A simpler book than most of the other ones that are usually suggested to people interested in artificial intelligence, but that doesn't mean it's any less valid. It favors natural language explanations over mathematical demonstrations, so it can be easily understood by everyone. Overall the lack of proper maths implies that anyone willing to extend upon the knowledge the book offers will have to use other sources alongside it, but personally it's how I think this book shines.A big advantage over A simpler book than most of the other ones that are usually suggested to people interested in artificial intelligence, but that doesn't mean it's any less valid. It favors natural language explanations over mathematical demonstrations, so it can be easily understood by everyone.
Overall the lack of proper maths implies that anyone willing to extend upon the knowledge the book offers will have to use other sources alongside it, but personally it's how I think this book shines.A big advantage over many other AI textbooks is that it's actually up to date with the current tech (as of the writing of this review), so it gives good explanations on systems, like fuzzy logic-based ones, that others ignore or just quote in a small paragraph, indicating how they still need to mature. This is a highly readable book on its subject. It is by no means a book on 'coding' AI systems. Nor is it a math tomb, though there is more math than code.
It is first and foremost an overview of the different technologies that sit inside the AI toolkit, including expert systems, fuzzy stems and neural networks - and how they can likely be combined to address shortcomings and potential rewards.The amount of math is not daunting, and is helpful for understanding the foundations of the different This is a highly readable book on its subject. It is by no means a book on 'coding' AI systems. Nor is it a math tomb, though there is more math than code. It is first and foremost an overview of the different technologies that sit inside the AI toolkit, including expert systems, fuzzy stems and neural networks - and how they can likely be combined to address shortcomings and potential rewards.The amount of math is not daunting, and is helpful for understanding the foundations of the different systems.
Since the aim of the book is not coding up specific examples, but closer to presenting cases as well as a process cookbook, this mathematical foundational is helpful.I have enjoyed this book immensely, likely my favorite book on AI technology so far. While other books may try to provide working examples for the student, this book is more like an aged tutor explaining the core of the subject, with all the wisdom of repeated failure and startling success time brings.
![Artificial intelligence guide intelligent systems 2nd edition pdf download Artificial intelligence guide intelligent systems 2nd edition pdf download](http://4.bp.blogspot.com/-n2zTjhTkWTE/UySjWtuii3I/AAAAAAAADvA/rYGEY04kNFA/s1600/artificial-intelligence-a-modern-approach.jpeg)
It certainly is not exhaustive in detail, but this book will be one to go back to when you are lost in the weeds.
Soft ComputingArtificial IntelligenceA Guide to Intelligent SystemsMichael NegnevitskyVirtually all the literature on artificial intelligence is expressed in the jargon of computer science, crowded with complex matrix algebra and differential equations. Unlike many other books on computer intelligence, this one demonstrates that most ideas behind intelligent systems are simple and straightforward. The book has evolved from lectures given to students with little knowledge of calculus, and the reader needs no prerequisites associated with knowledge of any programming language. The methods used in the book have been extensively tested through several courses given by the author.The book provides an introduction to the field of computer intelligence, covering rule-based expert systems, fuzzy expert systems, frame-based expert systems, artificial neural networks, evolutionary computation, hybrid intelligent systems, knowledge engineering, data mining.In a university setting the book can be used as an introductory course within computer science, information systems or engineering departments. The book is also suitable as a self-study guide for non-computer science professionals, giving a'synopsis' may belong to another edition of this title.
From the Back Cover:Virtually all the literature on artificial intelligence is expressed in the jargon of commuter science, crowded with complex matrix algebra and differential equations. Unlike many other books on computer intelligence, this one demonstrates that most ideas behind intelligent systems are simple and straightforward.
The book has evolved from lectures given to students with little knowledge of calculus, and the reader needs no prerequisites associated with knowledge of any programming language. The methods used in the book have been extensively tested through several courses given by the author.The book provides an introduction to the field of computer intelligence, covering.
rule-based expert systems,. fuzzy expert systems,. frame-based expert systems,. artificail neural networks,. evolutionary computation,. hybrid intelligent systems,. knowledge engineering,.
data mining.In a university setting the book can be used as an introductory course within computer science, information systems or engineering departments. The book is also suitable as a self-study guide for non-computer science professionals, giving access to the state of the art in knowledge-based systems and computational intelligence. Everyone who faces challenging problems and cannot solve them using traditional approaches can benefit About the Author:Dr Michael Negnevitsky is a Professor in Electrical Engineering and Computer Science at the University of Tasmania, Australia. The book has developed from his lectures to undergraduates. Educated as an electrical engineer, Dr Negnevitsky’s many interests include artificial intelligence and soft computing.
His research involves the development and application of intelligent systems in electrical engineering, process control and environmental engineering. He has authored and co-authored over 300 research publications including numerous journal articles, four patents for inventions and two books.'
About this title' may belong to another edition of this title.
![](/uploads/1/2/6/8/126841524/551089965.jpg)