Vrije Universiteit Amsterdam (VU) • MSc Artificial Intelligence
Latest uploads for MSc Artificial Intelligence at Vrije Universiteit Amsterdam (VU). Looking for MSc Artificial Intelligence notes at Vrije Universiteit Amsterdam (VU)? We have lots of notes, study guides and study notes available for MSc Artificial Intelligence at Vrije Universiteit Amsterdam (VU).
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Courses MSc Artificial Intelligence at Vrije Universiteit Amsterdam (VU)
Notes available for the following courses of MSc Artificial Intelligence at Vrije Universiteit Amsterdam (VU)
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Cognitive Psychology and its Applications XM_40010 2
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Deep Learning XM_0083 1
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Entrepreneurship in Analytics and AI XM_0090 1
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Evolutionary Computing X_400111 2
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Experimental Design & Data Analysis X_405078 1
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Experimental Design and Data Analysis X_405078 1
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ICT4D X_405101 1
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Knowledge Representation XM_0059 2
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Machine Learning for the quantified self XM_40012 2
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Multi-Agent Systems XM_0052 3
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Natural Language Processing Technology L_AAMAALG005 4
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Web Data Processing Systems XM_40020 1
Popular books Vrije Universiteit Amsterdam (VU) • MSc Artificial Intelligence
A.E. Eiben, J.E. Smith • ISBN 9783662499856
Christopher D. Wickens, John Lee • ISBN 9781292022314
Latest content Vrije Universiteit Amsterdam (VU) • MSc Artificial Intelligence
A summary of the lectures and the reading material
- Summary
- • 36 pages's •
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Vrije Universiteit Amsterdam•Natural Language Processing Technology
A summary of the lecture videos, including answers to the practice questions given for each lecture.
- Summary
- • 18 pages's •
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Vrije Universiteit Amsterdam•Machine Learning For The Quantified Self
All notes for the Evolutionary Computing course. Although it seems like a lot of pages, it is mainly points below each other and a lot of images. With this you don't have to look back at any college. I passed it with an 8 for the exam.
- Class notes
- • 91 pages's •
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Vrije Universiteit Amsterdam•Evolutionary Computing
All notes for the NLPT course, got a 7.6 for the exam itself. All the necessary slides are also included with necessary explanations.
- Class notes
- • 41 pages's •
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Vrije Universiteit Amsterdam•Natural Language Processing Technology
Lecture notes from lecture 7-9 for the course MAS, you no longer have to watch a lecture but mainly practice
- Package deal
- Class notes
- • 42 pages's •
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Vrije Universiteit Amsterdam•Multi-Agent Systems
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Multi-agent Systems complete• By MeldaMalkoc
Notes of all lectures for EAA, no need to watch any lecture!
- Class notes
- • 45 pages's •
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Vrije Universiteit Amsterdam•Entrepreneurship in Analytics and AI
Lecture notes for lecture 7-9 of the course MAS, with this you no longer have to watch a lecture, but above all practice
- Package deal
- Class notes
- • 34 pages's •
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Vrije Universiteit Amsterdam•Multi-Agent Systems
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Multi-agent Systems complete• By MeldaMalkoc
All lectures for the WDPS course are present in this document, by going through this well and practicing well, a good grade is guaranteed.
- Class notes
- • 51 pages's •
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Vrije Universiteit Amsterdam•Web Data Processing Systems
Those are the notes I made during the whole course, it is not a summary! As long as you understand this document you do not need to watch any lecture. With those notes I have passed the course with a 7.5.
- Package deal
- Class notes
- • 68 pages's •
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Vrije Universiteit Amsterdam•Deep Learning
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Deep Learning complete• By MeldaMalkoc
All notes for the Information and Communication Technology for Development course; this allows you to write your end portfolio
- Class notes
- • 35 pages's •
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Vrije Universiteit Amsterdam•ICT4D
All notes for the ML4QS box. Thanks to these notes, you don't have to watch a single slide/lecture just practice with old exams. Thanks to my notes, I got a 9.5 for the exam.
- Class notes
- • 40 pages's •
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Vrije Universiteit Amsterdam•Machine Learning for the quantified self
All lecture notes from the course EDDA; no need to watch the lectures when you learn those notes.
- Class notes
- • 88 pages's •
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Vrije Universiteit Amsterdam•Experimental Design & Data Analysis
Notes for the Knowledge Representation course given in autumn 2020. This with enough practice will guarantee a high grade. Got a 9.4 myself for the exam.
- Class notes
- • 69 pages's •
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Vrije Universiteit Amsterdam•Knowledge Representation
Those are the notes I took during the Cognitive Psych. and its Applications course. With this, you do not need to look at any lecture, because all the needed information from the slides are included in my notes!
- Book
- Class notes
- • 21 pages's •
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Vrije Universiteit Amsterdam•Cognitive Psychology And Its Applications
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Introduction to Human Factors Engineering: Pearson International Edition • Christopher D. Wickens, John Lee• ISBN 9781292022314
An overview for SAT-solving, Ontology Reasoning and Bayesian Networks, which were the content of the 2020 Knowledge Representation course at Vrije Universiteit. Including practice questions and answers!
- Summary
- • 22 pages's •
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Vrije Universiteit Amsterdam•Knowledge Representation
This document includes answers to all learning goals for each lecture of Natural Language Processing Technology, INCLUDING reading comprehension answers!
- Summary
- • 22 pages's •
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Vrije Universiteit Amsterdam•Natural Language Processing Technology
This documents gives an overview over the complete field of Evolutionary Computing, as given by the Evolutionary Computing course at Vrije Universiteit Amsterdam.
- Book
- Summary
- • 23 pages'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
This summary provides information of all described learning goals and answers to the reading comprehension questions
- Book
- Class notes
- • 42 pages's •
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Vrije Universiteit Amsterdam•Natural Language Processing Technology
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Speech and Language Processing • Daniel Jurafsky, James Martin• ISBN 9780131227989
A summary for the Multi-Agent Systems course given in the Artificial Intelligence master at the VU. 
Overview of exam goals of the Multi-Agent Systems course (XM_0052)
- Summary
- • 8 pages's •
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Vrije Universiteit Amsterdam•Multi-Agent Systems
A full overview of the course content, with implemtations in R.
- Summary
- • 15 pages's •
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Vrije Universiteit Amsterdam•Experimental Design and Data Analysis