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Paul, S. (2022)
Signal processing captures, interprets, describes and manipulates physical phenomena. Mathematics, statistics, probability, and stochastic processes are among the signal …
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Scitovski, R., Sabo, K., Martínez Álvarez, F., Ungar, Š. (2021)
With the development of Big Data platforms for managing massive amount of data and wide availability of tools for processing these data, the biggest limitation is the lack of …
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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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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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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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Ertel, W. (2021)
In diesem Buch werden alle Teilgebiete der KI kompakt, leicht verständlich und anwendungsbezogen vorgestellt. Der Autor kennt das Gebiet nicht nur bestens aus Forschung und …
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Mockenhaupt, A. (2021)
Dieses Lehrbuch beschreibt Grundlagen sowie die Umsetzung der Digitalisierung & Künstlichen Intelligenz (KI) mit Fokus auf industrielle Anwendungen, außerhalb der reinen IT und …
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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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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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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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eBook
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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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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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Softcover
eBook
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
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, …
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eBook
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Plaue, M. (2021)
Dieses Lehrbuch bietet eine gut verständliche Einführung in mathematische Konzepte und algorithmische Verfahren, die der Data Science zugrunde liegen. Es deckt hierfür wesentliche …
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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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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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