Textbook
Paul, S. (2021)
Signal processing captures, interprets, describes and manipulates physical phenomena. Mathematics, statistics, probability, and stochastic processes are among the signal …
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Dube, S. (2021)
This book develops a conceptual understanding of Artificial Intelligence (AI), Deep Learning and Machine Learning in the truest sense of the word. It is an earnest endeavor to …
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Bräunl, T. (2021)
This textbook presents a unique examination of embedded systems and intelligent robots from introductory to advanced level. It is structured in four parts, dealing with Embedded …
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Suzuki, J. (2021)
The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the …
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von Braun, J. (Ed), S. Archer, M. (Ed), Reichberg, G. M. (Ed), Sánchez Sorondo, M. (Ed) (2021)
This open access book examines recent advances in how artificial intelligence (AI) and robotics have elicited widespread debate over their benefits and drawbacks for humanity. The …
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Edelkamp, S. (2021)
In this book the author argues that the basis of what we consider computer intelligence has algorithmic roots, and he presents this with a holistic view, showing examples and …
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Siciliano, B. (Ed) (2021)
This book is part of the Springer MOOC & BOOK project, providing both a MOOC – offered through Federica Web Learning – and a Springer reference book based on the online course, …
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eBook
Softcover
Textbook
Siciliano, B. (Ed) (2021)
This book is part of the Springer MOOC & BOOK project, providing both a MOOC – offered through Federica Web Learning – and a Springer reference book based on the online course, …
Available Formats:
Softcover
eBook
Softcover
Textbook
Siciliano, B. (Ed) (2021)
This book is part of the Springer MOOC & BOOK project, providing both a MOOC – offered through Federica Web Learning – and a Springer reference book based on the online course, …
Available Formats:
Softcover
eBook
Softcover
Textbook
Siciliano, B. (Ed) (2021)
This book is part of the Springer MOOC & BOOK project, providing both a MOOC – offered through Federica Web Learning – and a Springer reference book based on the online course, …
Available Formats:
Softcover
eBook
Softcover
Textbook
Suzuki, J. (2021)
The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the …
Available Formats:
Softcover
eBook
Textbook
Suzuki, J. (2021)
The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the …
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Softcover
eBook
Textbook
Kruse, R., Mostaghim, S., Borgelt, C., Braune, C., Steinbrecher, M., Nürnberger, A. (2021)
This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems …
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Aggarwal, C. C. (2021)
This textbook covers the broader field of artificial intelligence. The chapters for this textbook span within three categories: Deductive reasoning methods: These methods start …
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