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Books From California, Simi Valley, CA, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Vendeur AbeBooks depuis 14 août 2001
N° de réf. du vendeur mon0003694368
Fully revised and updated, this third edition includes three new chapters on neural networks and deep learning including generative AI, causality, and the social, ethical and regulatory impacts of artificial intelligence. All parts have been updated with the methods that have been proven to work. The book's novel agent design space provides a coherent framework for learning, reasoning and decision making. Numerous realistic applications and examples facilitate student understanding. Every concept or algorithm is presented in pseudocode and open source AIPython code, enabling students to experiment with and build on the implementations. Five larger case studies are developed throughout the book and connect the design approaches to the applications. Each chapter now has a social impact section, enabling students to understand the impact of the various techniques as they learn them. An invaluable teaching package for undergraduate and graduate AI courses, this comprehensive textbook is accompanied by lecture slides, solutions, and code.
À propos des auteurs:
David L. Poole is Professor of Computer Science at the University of British Columbia. He is a former chair of the Association for Uncertainty in Artificial Intelligence, the winner of the Canadian AI Association (CAIAC) Lifetime Achievement Award, and is a Fellow of AAAI and CAIAC.
Alan K. Mackworth is a Professor Emeritus of Computer Science at the University of British Columbia, where he co-founded the pioneering UBC Cognitive Systems Program. He served as President of CAIAC, IJCAII, and AAAI, and now acts as a consultant, writer and lecturer. He is a Fellow of AAAI, CAIAC, CIFAR, AGE-WELL and the Royal Society of Canada.
Titre : Artificial Intelligence: Foundations of ...
Éditeur : Cambridge University Press
Date d'édition : 2023
Reliure : hardcover
Etat : Very Good
Edition : 3ème Édition
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
Hardcover. Etat : Very Good. 3. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. N° de réf. du vendeur 1009258192-8-1
Quantité disponible : 2 disponible(s)
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
Hardcover. Etat : Good. 3. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. N° de réf. du vendeur 1009258192-11-1
Quantité disponible : 1 disponible(s)
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
hardcover. Etat : Very Good. N° de réf. du vendeur mon0003647130
Quantité disponible : Plus de 20 disponibles
Vendeur : medimops, Berlin, Allemagne
Etat : very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. N° de réf. du vendeur M01009258192-V
Quantité disponible : 1 disponible(s)
Vendeur : Textbooks_Source, Columbia, MO, Etats-Unis
hardcover. Etat : New. 3rd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). N° de réf. du vendeur 008708172N
Quantité disponible : Plus de 20 disponibles
Vendeur : Speedyhen, London, Royaume-Uni
Etat : NEW. N° de réf. du vendeur NW9781009258197
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Fully revised and updated, this third edition includes three new chapters on neural networks and deep learning including generative AI, causality, and the social, ethical and regulatory impacts of artificial intelligence. All parts have been updated with the methods that have been proven to work. The book's novel agent design space provides a coherent framework for learning, reasoning and decision making. Numerous realistic applications and examples facilitate student understanding. Every concept or algorithm is presented in pseudocode and open source AIPython code, enabling students to experiment with and build on the implementations. Five larger case studies are developed throughout the book and connect the design approaches to the applications. Each chapter now has a social impact section, enabling students to understand the impact of the various techniques as they learn them. An invaluable teaching package for undergraduate and graduate AI courses, this comprehensive textbook is accompanied by lecture slides, solutions, and code. N° de réf. du vendeur 9781009258197
Quantité disponible : 1 disponible(s)
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 45718306
Quantité disponible : 14 disponible(s)
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : New. N° de réf. du vendeur 45718306-n
Quantité disponible : 14 disponible(s)
Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. N° de réf. du vendeur I-9781009258197
Quantité disponible : Plus de 20 disponibles