Vrije Universiteit Amsterdam (VU) • Artificial Intelligence
Meest recente samenvattingen voor de opleiding Artificial Intelligence op de Vrije Universiteit Amsterdam (VU). Op zoek naar een samenvatting voor Artificial Intelligence? Wij hebben diverse samenvattingen voor de opleiding Artificial Intelligence op de Vrije Universiteit Amsterdam (VU).
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Vakken Artificial Intelligence op de Vrije Universiteit Amsterdam (VU)
Er zijn samenvattingen beschikbaar voor de volgende vakken van Artificial Intelligence op Vrije Universiteit Amsterdam (VU)
- Information Management X_401085 1
- Information Retrieval X_400435 3
- INFORMATION SYSTEMS IN E-BUSINESS AND ONLINE COMMERCE E_IBA3_ISEOC 2
- Intelligent Systems XB_0031 8
- Introduction Psychology And Its Methods XB_0069 12
- Introduction To Programming XB_0082 1
- Introduction to Psychology & its Methods P_BIPM_AI 3
- Introduction to Psychology and its Methods P_BIPM_AI 1
Populaire samengevatte boeken Vrije Universiteit Amsterdam (VU) • Artificial Intelligence
Michael S. Gazzaniga • ISBN 9780393644548
I. Scott MacKenzie • ISBN 9780124058651
Mark Hoogendoorn, Burkhardt Funk • ISBN 9783319663074
Christoph Bartneck, Tony Belpaeme • ISBN 9781108735407
Laatste content Vrije Universiteit Amsterdam (VU) • Artificial Intelligence
A concise summary of the course Machine Learning and Reasoning for Health, MSc AI.
A more concise summary of the course Natural Language Processing (NLP), MSc AI.
A summary of all the mandatory readings per lecture for the course Natural Language Processing, MSc AI.
A summary of all the slides for the course Natural Language Processing, MSc AI.
A summary of all the slides for the course Machine Learning for the Quantified Self, MSc AI.
A summary per chapter for the book "Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data" by Mark Hoogendoorn and Burkhardt Funk.
A summary of all the slides for the course Brain Imaging, MSc AI.
Quiz with answers for the course Brain Imaging, MSc AI.
A summary for the course brain imaging, MSc AI.
A summary of lecture 1 and 2 slides for the course Multi-Agent Systems.