Vjblom
Op deze pagina vind je alle documenten, voordeelbundels en oefenvragen die worden aangeboden door verkoper vjblom.
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Summary Knowledge Organization
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...
- Samenvatting
- • 56 pagina's •
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...
Summary Deep Learning (MSc AI)
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...
- Samenvatting
- • 82 pagina's •
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...
Summary Multi-agent systems (MSc AI)
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...
- Samenvatting
- • 81 pagina's •
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 Evolutionary Computing (MSc AI VU)
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 ...
- Boek
- Samenvatting
- • 131 pagina's •
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 ...
Samenvatting - Brain Imaging (P_MBRIMAG_AI)
Samenvatting op basis van de lectures, aanvullende videos en literatuur van de course.
- Samenvatting
- • 91 pagina's •
Samenvatting op basis van de lectures, aanvullende videos en literatuur van de course.
Samenvatting - Knowledge Representation (XM_0059)
Samenvatting op basis van de lectures van de course.
- Samenvatting
- • 73 pagina's •
Samenvatting op basis van de lectures van de course.
Samenvatting - Skills for AI (XM_0077)
Samenvatting op basis van de lectures (slides) van de course.
- Samenvatting
- • 63 pagina's •
Samenvatting op basis van de lectures (slides) van de course.