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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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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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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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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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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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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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Sucar, L. E. (2021)
This fully updated new edition of a uniquely accessible textbook/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering …
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Lee, R. S. T. (2020)
With the exponential growth of program trading in the global financial industry, quantum finance and its underlying technologies have become one of the hottest topics in the …
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Plaat, A. (2020)
In this textbook the author takes as inspiration recent breakthroughs in game playing to explain how and why deep reinforcement learning works. In particular he shows why …
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Suzuki, J. (2020)
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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Manna, M. (Ed), Pieris, A. (Ed) (2020)
This volume contains 8 lecture notes of the 16th Reasoning Web Summer School (RW 2020), held in Oslo, Norway, in June 2020. The Reasoning Web series of annual summer schools has …
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Eaton, M. (2020)
In this book the author discusses synergies between computers and thought, related to the field of Artificial Intelligence; between people and thought, leading to questions of …
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Hogan, A. (2020)
This book’s main goals are to bring together in a concise way all the methodologies, standards and recommendations related to Data, Queries, Links, Semantics, Validation and other …
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Andrienko, N., Andrienko, G., Fuchs, G., Slingsby, A., Turkay, C., Wrobel, S. (2020)
This textbook presents the main principles of visual analytics and describes techniques and approaches that have proven their utility and can be readily reproduced. Special …
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Bräunl, T. (2020)
In this book the author stresses software as the most important topic in modern robotics. In particular the book concentrates on software for mobile robots, and the author …
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Qamar, U., Raza, M. S. (2020)
This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other …
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Chowdhary, K. (2020)
Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, …
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Kornai, A. (2020)
The focus of this textbook is the meaning of linguistic expressions, typically full sentences and longer texts. The author describes the conceptual and formal tools required for …
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Hung, C., Song, E., Lan, Y. (2019)
This useful textbook/reference presents an accessible primer on the fundamentals of image texture analysis, as well as an introduction to the K-views model for extracting and …
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Zhang, J., Yu, P. S. (2019)
This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning. Broad learning aims at …
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