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EINFÜHRUNG IN KÜNSTLICHE INTELLIGENZ (UNDERGRADUATE von Wolfgang Ertel **NEU**

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Artikelzustand
Neu: Neues, ungelesenes, ungebrauchtes Buch in makellosem Zustand ohne fehlende oder beschädigte ...
ISBN-10
0857292986
Book Title
Introduction to Artificial Intelligence (Undergraduate Topics in
Item Height
9.1 inches
ISBN
9780857292988
Publication Year
2011
Series
Undergraduate Topics in Computer Science Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Publication Name
Introduction to Artificial Intelligence
Author
Wolfgang Ertel
Item Length
9.2in
Publisher
Springer
Item Width
6.1in
Item Weight
17.8 Oz
Number of Pages
Xii, 316 Pages

Über dieses Produkt

Product Information

This accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. It provides study exercises at the end of each chapter, plus examples, definitions, theorems, and illustrations.

Product Identifiers

Publisher
Springer
ISBN-10
0857292986
ISBN-13
9780857292988
eBay Product ID (ePID)
102761992

Product Key Features

Author
Wolfgang Ertel
Publication Name
Introduction to Artificial Intelligence
Format
Trade Paperback
Language
English
Publication Year
2011
Series
Undergraduate Topics in Computer Science Ser.
Type
Textbook
Number of Pages
Xii, 316 Pages

Dimensions

Item Length
9.2in
Item Width
6.1in
Item Weight
17.8 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Q334-342tj210.2-211.
Reviews
From the reviews:The book is aimed primarily at undergraduates who have not yet taken linear algebra or multidimensional calculus. … it contains many exercises with solutions at the back; thus, it supports self-learning. … The many excellent figures, some in color, help make the material easily understandable. A companion Web site contains supplementary materials, such as program code for the book, most of which is in or commented on in German. Summing Up: Recommended. Upper-division undergraduates and above. (S. L. Tanimoto, Choice, Vol. 49 (2), October, 2011), From the reviews: "The book is aimed primarily at undergraduates who have not yet taken linear algebra or multidimensional calculus. ... it contains many exercises with solutions at the back; thus, it supports self-learning. ... The many excellent figures, some in color, help make the material easily understandable. A companion Web site contains supplementary materials, such as program code for the book, most of which is in or commented on in German. Summing Up: Recommended. Upper-division undergraduates and above." (S. L. Tanimoto, Choice, Vol. 49 (2), October, 2011) "This accessible and concise introduction to the field of artificial intelligence (AI) is intended primarily for self-study or as a foundation of a short course on the subject. The book consists of ten topic chapters, each one of which offers an extended list of exercises. Chapter 11 contains solutions to all exercises. Additional teaching resources, including lecture slides, are available on the book website." (Neli Zlatareva, Zentralblatt MATH, Vol. 1238, 2012), "The book overall is very readable and relevant. One of the most valuable aspects of this book are the worked out examples and numerous (solved) exercises. ... Overall, this is a very well written and pedagogical book that fills an important niche in the Artificial Intelligence educational literature. Highly recommended." (Bojan Tunguz, tunguzreview.com, July, 2015) "This accessible and concise introduction to the field of artificial intelligence (AI) is intended primarily for self-study or as a foundation of a short course on the subject. The book consists of ten topic chapters, each one of which offers an extended list of exercises. Chapter 11 contains solutions to all exercises. Additional teaching resources, including lecture slides, are available on the book website." (Neli Zlatareva, Zentralblatt MATH, Vol. 1238, 2012) "The book is aimed primarily at undergraduates who have not yet taken linear algebra or multidimensional calculus. ... it contains many exercises with solutions at the back; thus, it supports self-learning. ... The many excellent figures, some in color, help make the material easily understandable. A companion Web site contains supplementary materials, such as program code for the book, most of which is in or commented on in German. Summing Up: Recommended. Upper-division undergraduates and above." (S. L. Tanimoto, Choice, Vol. 49 (2), October, 2011), From the reviews:The book is aimed primarily at undergraduates who have not yet taken linear algebra or multidimensional calculus. … it contains many exercises with solutions at the back; thus, it supports self-learning. … The many excellent figures, some in color, help make the material easily understandable. A companion Web site contains supplementary materials, such as program code for the book, most of which is in or commented on in German. Summing Up: Recommended. Upper-division undergraduates and above. (S. L. Tanimoto, Choice, Vol. 49 (2), October, 2011)This accessible and concise introduction to the field of artificial intelligence (AI) is intended primarily for self-study or as a foundation of a short course on the subject. The book consists of ten topic chapters, each one of which offers an extended list of exercises. Chapter 11 contains solutions to all exercises. Additional teaching resources, including lecture slides, are available on the book website. (Neli Zlatareva, Zentralblatt MATH, Vol. 1238, 2012)
Original Language
German
Copyright Date
2011
Target Audience
Scholarly & Professional
Topic
Intelligence (Ai) & Semantics
Lccn
2011-923216
Dewey Decimal
006.3
Dewey Edition
22
Illustrated
Yes
Genre
Computers

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