2018, ISBN: 3319584863

[EAN: 9783319584867], Neubuch, [PU: Springer International Publishing Jan 2018], INTELLIGENZ / KÜNSTLICHE INTELLIGENZ; KI; - AI; ROBOTER ROBOTIK INDUSTRIEROBOTER; ARTIFICIALINTELLIGENCE; … Meer...

[EAN: 9783319584867], Neubuch, [PU: Springer International Publishing Jan 2018], INTELLIGENZ / KÜNSTLICHE INTELLIGENZ; KI; - AI; ROBOTER ROBOTIK INDUSTRIEROBOTER; ARTIFICIALINTELLIGENCE; AGENTS; LOGIC; REASONINGWITHUNCERTAINTY; MACHINELEARNING; NEURALNETWORKS; SEARCH, This item is printed on demand - it takes 3-4 days longer - Neuware -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 website; contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; reports 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 to understand the material. 372 pp. Englisch, Books<

2018, ISBN: 3319584863

[EAN: 9783319584867], Neubuch, [SC: 0.0], [PU: Springer International Publishing], INTELLIGENZ / KÜNSTLICHE INTELLIGENZ; KI; - AI; ROBOTER ROBOTIK INDUSTRIEROBOTER; ARTIFICIALINTELLIGENCE… Meer...

[EAN: 9783319584867], Neubuch, [SC: 0.0], [PU: Springer International Publishing], INTELLIGENZ / KÜNSTLICHE INTELLIGENZ; KI; - AI; ROBOTER ROBOTIK INDUSTRIEROBOTER; ARTIFICIALINTELLIGENCE; AGENTS; LOGIC; REASONINGWITHUNCERTAINTY; MACHINELEARNING; NEURALNETWORKS; SEARCH, Druck auf Anfrage Neuware - Printed after ordering - 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 website; contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; reports 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 to understand the material., Books<

ISBN: 9783319584867

[ED: Taschenbuch], [PU: Springer International Publishing], Neuware - This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligenc… Meer...

[ED: Taschenbuch], [PU: Springer International Publishing], Neuware - 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 website; contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; reports 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 to understand the material.- Besorgungstitel - vorauss. Lieferzeit 3-5 Tage., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 235x155x19 mm, 372, [GW: 631g], Banküberweisung, Offene Rechnung, Kreditkarte, PayPal, Offene Rechnung (Vorkasse vorbehalten), Internationaler Versand<

ISBN: 9783319584867

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...

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 website; contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; reports 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 to understand the material., Springer<

2018, ISBN: 9783319584867

Translator: Black, Nathanael T. Springer, Paperback, Auflage: 2nd ed. 2017, 370 Seiten, Publiziert: 2018-01-29T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: 28898134, 0.65 kg, Verkaufsr… Meer...

Translator: Black, Nathanael T. Springer, Paperback, Auflage: 2nd ed. 2017, 370 Seiten, Publiziert: 2018-01-29T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: 28898134, 0.65 kg, Verkaufsrang: 659587, AI & Machine Learning, Computer Science, Computing & Internet, Subjects, Books, Automatic Control, Electronics Engineering, Electronics & Communications Engineering, Engineering & Technology, Science, Nature & Maths, Robotics, Books Global Store, 579c3025-5e5c-446b-80c9-b24e6fd5c94f_3601, 579c3025-5e5c-446b-80c9-b24e6fd5c94f_0, Special Features Stores, Arborist Merchandising Root, Prime Student - 10% Discount on Acadmic Books, 579c3025-5e5c-446b-80c9-b24e6fd5c94f_8701, Format: Illustrated, Springer, 2018<