Vrije Universiteit Amsterdam (VU) • Artificial Intelligence
Examens, Klausuren oder Prüfungen zu Artificial Intelligence @ Vrije Universiteit Amsterdam (VU). Suchst du nach den besten Studienführern, Studiennotizen und Zusammenfassungen für Artificial Intelligence an der Vrije Universiteit Amsterdam (VU)? Wir haben viele Zusammenfassungen und Notizen deiner Schule oder Universität.
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Kurse Artificial Intelligence @ Vrije Universiteit Amsterdam (VU)
Notizen für die Kurse von Artificial Intelligence der Vrije Universiteit Amsterdam (VU)
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Automata and Complexity X_401049 1
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Brain Imaging P_MBRIMAG_AI 1
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Cognitieve Psychologie 1
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Cognitive Psychology XB_0072 1
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Cognitive Psychology and its Applications XM_40010 6
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Cognitive Psychology for AI XB_0072 2
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Computational Intelligence XB0025 2
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Computational Thinking X_400475 7
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Data Analytics and Privacy R_DAP 1
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Data Science XB_0018 1
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Data Structures & Algorithms XB_0043 2
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Databases X401008 7
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Deep learning XM_0083 2
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Evolutionary Computing X_400111 4
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Gedrag en Gezondheid 2
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Governance and Regulation of Emerging Technologies R_GRET 6
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History of Science X_400318 3
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Human-Computer Interaction XB_0013 1
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Information Management X_401085 1
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Information Retrieval X_400435 3
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INFORMATION SYSTEMS IN E-BUSINESS AND ONLINE COMMERCE E_IBA3_ISEOC 2
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Intelligent Systems XB_0031 7
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Introduction Psychology and Its Methods XB_0069 10
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Introduction to Programming XB_0082 4
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Introduction to Psychology & its Methods P_BIPM_AI 3
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Introduction to Psychology and its Methods P_BIPM_AI 1
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Knowledge and Data X_400083 1
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Knowledge Organization X_405065 1
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Knowledge Representation XM_0059 2
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Law and Ethics of Reproductive Technologies R_LERT 5
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Logic and Sets 3
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Machine Learning X_400154 6
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Machine Learning for the Quantified Self XM_40012 1
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Multi Agent Systems XM_0052 1
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Multi-Agent Systems XB_0024 5
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Philosophy and Neuroethics W_BA_PNEU 3
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Robot Interaction XB_0040 15
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Robot Law and Artificial Intelligence R_RLAI 4
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Skills for AI XM_0077 2
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Statistical Methods XB_0080 3
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Strategic Management of Technology and Innovation E_BK3_SMTI 3
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Text Mining XB_0085 2
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Web Technology X_400488 9
Populäre Bücher Vrije Universiteit Amsterdam (VU) • Artificial Intelligence
Michael S. Gazzaniga • ISBN 9780393644548
Mark Hoogendoorn, Burkhardt Funk • ISBN 9783319663074
I. Scott MacKenzie • ISBN 9780124058651
Christoph Bartneck, Tony Belpaeme • ISBN 9781108735407
Peter Flach • ISBN 9781107422223
Christopher D. Wickens, John Lee • ISBN 9781292022314
Jack Levin, James Fox • ISBN 9781292027180
Aktuellste Notizen und Zusammenfassungen Vrije Universiteit Amsterdam (VU) • Artificial Intelligence
Summary based on lectures. I got an 8.5 for the exam. This course covers the general principles and methods that form the foundation of information organization and knowledge-intensive processes, as well as the contexts in which they can be applied and the interaction with users. The lecture topics include knowledge modeling, ontologies, logic, controlled natural language, Semantic Web and Linked Data, as well as knowledge maintenance and evaluation, in addition to guest lectures on speci...
- Zusammenfassung
- • 56 Seiten 's •
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Vrije Universiteit Amsterdam•Knowledge Organization
Vorschau 4 aus 56 Seiten
Summary based on lectures. I got an 8.5 for the exam. This course covers the general principles and methods that form the foundation of information organization and knowledge-intensive processes, as well as the contexts in which they can be applied and the interaction with users. The lecture topics include knowledge modeling, ontologies, logic, controlled natural language, Semantic Web and Linked Data, as well as knowledge maintenance and evaluation, in addition to guest lectures on speci...
Based on lectures. I got a 9 for the exam! Deep learning becomes the leading learning and modeling paradigm in machine learning. During this course, we will present basic components of deep learning, such as: - different layers (e.g., linear layers, convolutional layers, pooling layers, recurrent layers); - non-linear activation functions (e.g., sigmoid, ReLU); - backpropagation; - learning algorithms (e.g., ADAM); - other (e.g., dropout). Further, we will show how to build deep ar...
- Zusammenfassung
- • 82 Seiten 's •
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Vrije Universiteit Amsterdam•Deep learning
Vorschau 4 aus 82 Seiten
Based on lectures. I got a 9 for the exam! Deep learning becomes the leading learning and modeling paradigm in machine learning. During this course, we will present basic components of deep learning, such as: - different layers (e.g., linear layers, convolutional layers, pooling layers, recurrent layers); - non-linear activation functions (e.g., sigmoid, ReLU); - backpropagation; - learning algorithms (e.g., ADAM); - other (e.g., dropout). Further, we will show how to build deep ar...
Based on lecture content. In Multi-agent systems (MAS) one studies collections of interacting, strategic and intelligent agents. These agents typically can sense both other agents and their environment, reason about what they perceive, and plan and carry out actions to achieve specific goals. In this course we introduce a number of fundamental scientific and engineering concepts that underpin the theoretical study of such multi-agent systems. In particular, we will cover the following top...
- Zusammenfassung
- • 81 Seiten 's •
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Vrije Universiteit Amsterdam•Multi Agent Systems
Vorschau 6 aus 81 Seiten
Based on lecture content. In Multi-agent systems (MAS) one studies collections of interacting, strategic and intelligent agents. These agents typically can sense both other agents and their environment, reason about what they perceive, and plan and carry out actions to achieve specific goals. In this course we introduce a number of fundamental scientific and engineering concepts that underpin the theoretical study of such multi-agent systems. In particular, we will cover the following top...
Summary based on both lectures and book. Including some exam questions. I got an 8.5 for the exam. This course is about constructing, applying and studying algorithms based on the Darwinian evolution theory. Driven by selection (survival of the fittest, mating of the fittest) and randomised reproduction (mutation, recombination), an evolutionary process is being emulated and solutions for a given problem are being "bred". During this course, various flavours within evolutionary computing are ...
- Book
- Zusammenfassung
- • 131 Seiten 's •
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Vrije Universiteit Amsterdam•Evolutionary Computing
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Introduction to Evolutionary Computing • A.E. Eiben, J.E. Smith• ISBN 9783662499856
Vorschau 6 aus 131 Seiten
Summary based on both lectures and book. Including some exam questions. I got an 8.5 for the exam. This course is about constructing, applying and studying algorithms based on the Darwinian evolution theory. Driven by selection (survival of the fittest, mating of the fittest) and randomised reproduction (mutation, recombination), an evolutionary process is being emulated and solutions for a given problem are being "bred". During this course, various flavours within evolutionary computing are ...
Detailed Lecture Notes Cognitive Psychology - all information is in here (of my year's slides)
- Notizen
- • 101 Seiten 's •
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Vrije Universiteit Amsterdam•Cognitive Psychology
Vorschau 4 aus 101 Seiten
Detailed Lecture Notes Cognitive Psychology - all information is in here (of my year's slides)
Exam questions from 2019 and 2021 for the course Evolutionary Computing
- Book
- Prüfung
- • 12 Seiten 's •
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Vrije Universiteit Amsterdam•Evolutionary Computing
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Introduction to Evolutionary Computing • A.E. Eiben, J.E. Smith• ISBN 9783662499856
Vorschau 2 aus 12 Seiten
Exam questions from 2019 and 2021 for the course Evolutionary Computing
Summary of slides for the course Evolutionary Computing
- Zusammenfassung
- • 29 Seiten 's •
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Vrije Universiteit Amsterdam•Evolutionary Computing
Vorschau 3 aus 29 Seiten
Summary of slides for the course Evolutionary Computing
Complete book summary for Introduction to Evolutionary Computing by A.E. Eiben and J.E. Smith.
- Book
- Zusammenfassung
- • 89 Seiten 's •
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Vrije Universiteit Amsterdam•Evolutionary Computing
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Introduction to Evolutionary Computing • A.E. Eiben, J.E. Smith• ISBN 9783662499856
Vorschau 4 aus 89 Seiten
Complete book summary for Introduction to Evolutionary Computing by A.E. Eiben and J.E. Smith.
Book summary for Cognitive Psychology - Goldstein and Van Hooff (2nd ed., 2021); Chapters 5, 6, 7, 10
- Book
- Zusammenfassung
- • 113 Seiten 's •
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Vrije Universiteit Amsterdam•Cognitive Psychology and its Applications
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COGNITIVE PSYCHOLOGY 2E • E. Goldstein, Johanna Van Hooff• ISBN 9781473774353
Vorschau 4 aus 113 Seiten
Book summary for Cognitive Psychology - Goldstein and Van Hooff (2nd ed., 2021); Chapters 5, 6, 7, 10
Book summary of Cognitive Psychology - Goldstein and Van Hooff (2nd ed., 2021); Chapters 1 to 4.
- Book
- Zusammenfassung
- • 110 Seiten 's •
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Vrije Universiteit Amsterdam•Cognitive Psychology and its Applications
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COGNITIVE PSYCHOLOGY 2E • E. Goldstein, Johanna Van Hooff• ISBN 9781473774353
Vorschau 4 aus 110 Seiten
Book summary of Cognitive Psychology - Goldstein and Van Hooff (2nd ed., 2021); Chapters 1 to 4.