- 5 resultaten
laagste prijs: € 30,74, hoogste prijs: € 61,57, gemiddelde prijs: € 48,14
1
Introduction to Artificial Intelligence - Wolfgang Ertel; Nathanael T. Black
bestellen
bij Springer.com
€ 50,28
verzending: € 0,001
bestellenGesponsorde link
Wolfgang Ertel; Nathanael T. Black:

Introduction to Artificial Intelligence - nieuw boek

ISBN: 9783319584874

This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines wit… Meer...

new in stock. Verzendingskosten:zzgl. Versandkosten. (EUR 0.00)
2
Introduction to Artificial Intelligence
bestellen
bij Springer.com
€ 53,49
verzending: € 0,001
bestellenGesponsorde link
Introduction to Artificial Intelligence - nieuw boek

ISBN: 9783319584874

This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines wit… Meer...

Nr. 978-3-319-58487-4. Verzendingskosten:Worldwide free shipping, , DE. (EUR 0.00)
3
Introduction to Artificial Intelligence
bestellen
bij Studystore.nl
€ 30,74
bestellenGesponsorde link
Introduction to Artificial Intelligence - nieuw boek

ISBN: 9783319584874

The ultimate aim of artificial intelligence (A.I.) is to understand intelligence and to build intelligent software and robots that come close to the performance of humans. On their way to… Meer...

new Verzendingskosten:zzgl. Versandkosten., exclusief verzendingskosten studystore.nl
4
Introduction to Artificial Intelligence - Nathanael T. Black, Wolfgang Ertel
bestellen
bij kobo.com
€ 44,62
bestellenGesponsorde link
Nathanael T. Black, Wolfgang Ertel:
Introduction to Artificial Intelligence - nieuw boek

ISBN: 9783319584874

This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines wit… Meer...

Verzendingskosten:Zzgl. Versandkosten., exclusief verzendingskosten
5
bestellen
bij lehmanns.de
€ 61,57
verzending: € 0,001
bestellenGesponsorde link
Wolfgang Ertel:
Introduction to Artificial Intelligence - nieuw boek

2018, ISBN: 9783319584874

eBooks, eBook Download (EPUB), [PU: Springer International Publishing], Springer International Publishing, 2018

Verzendingskosten:Download sofort lieferbar. (EUR 0.00)

1Aangezien sommige platformen geen verzendingsvoorwaarden meedelen en deze kunnen afhangen van het land van levering, de aankoopprijs, het gewicht en de grootte van het artikel, een eventueel lidmaatschap van het platform, een rechtstreekse levering door het platform of via een derde aanbieder (Marktplaats), enz., is het mogelijk dat de door euro-boek.nl meegedeelde verzendingskosten niet overeenstemmen met deze van het aanbiedende platform.

Bibliografische gegevens van het best passende boek

Bijzonderheden over het boek

Gedetalleerde informatie over het boek. - Introduction to Artificial Intelligence


EAN (ISBN-13): 9783319584874
Verschijningsjaar: 2018
Uitgever: Springer International Publishing

Boek bevindt zich in het datenbestand sinds 2018-01-24T11:26:20+01:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2024-02-24T20:43:12+01:00 (Amsterdam)
ISBN/EAN: 9783319584874

ISBN - alternatieve schrijfwijzen:
978-3-319-58487-4
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: springer, wolfgang ertel, wolf
Titel van het boek: artificial intelligence


Gegevens van de uitgever

Auteur: Wolfgang Ertel
Titel: Undergraduate Topics in Computer Science; Introduction to Artificial Intelligence; Grundkurs Künstliche Intelligenz: Eine praxisorientierte Einführung
Uitgeverij: Springer; Springer International Publishing
356 Bladzijden
Verschijningsjaar: 2018-01-18
Cham; CH
Vertaler: Nathanael T. Black
Taal: Engels
69,54 € (DE)
71,50 € (AT)
77,00 CHF (CH)
Available
XIV, 356 p. 130 illus., 46 illus. in color.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Artificial Intelligence; Agents; Logic; Search; Reasoning with Uncertainty; Machine Learning; Neural Networks; B; Artificial Intelligence; Computer Science; BC

This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning.Topics and features:Presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated websiteContains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoonsIncludes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learningReports on developments in deep learning, including applications of neural networks to generate creative content such as text, music and art (NEW)Examines performance evaluation of clustering algorithms, and presents two practical examples explaining Bayes’ theorem and its relevance in everyday life (NEW)Discusses search algorithms, analyzing the cycle check, explaining route planning for car navigation systems, and introducing Monte Carlo Tree Search (NEW)Includes a section in the introduction on AI and society, discussing the implications of AI on topics such as employment and transportation (NEW)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 tounderstand the material.Dr. Wolfgang Ertel is a professor at the Institute for Artificial Intelligence at the Ravensburg-Weingarten University of Applied Sciences, Germany.
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

< naar Archief...