Universiteit Utrecht (UU) • Master Artificial Intelligence
Meest recente samenvattingen voor de opleiding Master Artificial Intelligence op de Universiteit Utrecht (UU). Op zoek naar een samenvatting voor Master Artificial Intelligence? Wij hebben diverse samenvattingen voor de opleiding Master Artificial Intelligence op de Universiteit Utrecht (UU).
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Vakken Master Artificial Intelligence op de Universiteit Utrecht (UU)
Er zijn samenvattingen beschikbaar voor de volgende vakken van Master Artificial Intelligence op Universiteit Utrecht (UU)
Nieuwste samenvattingen Universiteit Utrecht (UU) • Master Artificial Intelligence
This cheat sheet contains the most important information from the course and refers to pages in the full summary for extra details. Everything is clearly highlighted.
This document includes a summary of all lectures, lecture notes, screenshots of important lecture slides and extra notes to help understand the contents and concepts better.
Summary lectures and reading materials on multi-agent systems, with some examples to explain the material. Be aware!: lecture 8 is not included!
This document contains notes and summaries covering the content of the course Social Computing within the Artificial Intelligence Master at Utrecht University. It covers the following topics: - what's social computing - ethics - migration & migrants - social data & digital traces - social network analysis - nlp X social media - reality mining - digital surveys - agent-based modeling - urban computing - AI X social good
This document contains notes and summaries covering the content of the course Pattern Recognition within the Artificial Intelligence Master at Utrecht University. It covers the following topics: - LMs for regression - LMs for classification 1&2 - intro to DL and NN - CNNs - RNNs
This document contains notes and summaries covering the content of the course Natural Language Generation within the Artificial Intelligence Master at Utrecht University.
This document contains notes and summaries covering the content of the course Natural Language Generation within the Artificial Intelligence Master at Utrecht University.
This document contains notes and summaries covering the content of the course Natural Language Generation within the Artificial Intelligence Master at Utrecht University. It is divided into two parts: Explainability and Fairness. It covers the following topics: - intro to nlg - nlg metrics and evaluation - commercial nlg - linguistics, pragmatics and the grecian maxims - REG algorithms
This document contains notes and summaries covering the content of the course Human-Centered Machine Learning within the Artificial Intelligence Master at Utrecht University. It covers the following topics: - intro to FAI - measuring fairness - interventions & making fair systems
This document contains notes and summaries covering the content of the course Human-Centered Machine Learning within the Artificial Intelligence Master at Utrecht University. It covers the following topics: - intro to XAI - interpretable models - model agnostic interpretability methods - neural network interpretability