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Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material.
Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material.
An ideal, quick resource on A.I., excellent for self-study
Presents an application-focused and hands-on approach to learning the subject
Provides study exercises at the end of each chapter, in addition to highlighted examples, definitions, theorems, and illustrative cartoons
Updated second edition featuring new material on deep learning
Introduction.- Propositional Logic.- First-order Predicate Logic.- Limitations of Logic.- Logic Programming with PROLOG.- Search, Games and Problem Solving.- Reasoning with Uncertainty.- Machine Learning and Data Mining.- Neural Networks.- Reinforcement Learning.- Solutions for the Exercises.
Erscheinungsjahr: | 2018 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Seiten: | 372 |
Reihe: | Undergraduate Topics in Computer Science |
ISBN-13: | 9783319584867 |
ISBN-10: | 3319584863 |
Sprache: | Englisch |
Herstellernummer: | 978-3-319-58486-7 |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: | Ertel, Wolfgang |
Übersetzung: | Black, Nathanael T. |
Auflage: | 2nd ed. 2017 |
Hersteller: |
Springer International Publishing
Undergraduate Topics in Computer Science |
Maße: | 235 x 155 x 19 mm |
Von/Mit: | Wolfgang Ertel |
Erscheinungsdatum: | 29.01.2018 |
Gewicht: | 0,631 kg |
An ideal, quick resource on A.I., excellent for self-study
Presents an application-focused and hands-on approach to learning the subject
Provides study exercises at the end of each chapter, in addition to highlighted examples, definitions, theorems, and illustrative cartoons
Updated second edition featuring new material on deep learning
Introduction.- Propositional Logic.- First-order Predicate Logic.- Limitations of Logic.- Logic Programming with PROLOG.- Search, Games and Problem Solving.- Reasoning with Uncertainty.- Machine Learning and Data Mining.- Neural Networks.- Reinforcement Learning.- Solutions for the Exercises.
Erscheinungsjahr: | 2018 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Seiten: | 372 |
Reihe: | Undergraduate Topics in Computer Science |
ISBN-13: | 9783319584867 |
ISBN-10: | 3319584863 |
Sprache: | Englisch |
Herstellernummer: | 978-3-319-58486-7 |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: | Ertel, Wolfgang |
Übersetzung: | Black, Nathanael T. |
Auflage: | 2nd ed. 2017 |
Hersteller: |
Springer International Publishing
Undergraduate Topics in Computer Science |
Maße: | 235 x 155 x 19 mm |
Von/Mit: | Wolfgang Ertel |
Erscheinungsdatum: | 29.01.2018 |
Gewicht: | 0,631 kg |