Dc070498
Op deze pagina vind je alle documenten, voordeelbundels en oefenvragen die worden aangeboden door verkoper dc070498.
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Causal Analysis in Data Science Summaries
Summaries for both modules of the course "Causal Analysis in Data Science" at Tilburg University.
- Voordeelbundel
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- Causal Analysis in Data Science: Conditional Process Analysis • Samenvatting
- Causal Analysis in Data Science: Multilevel Analysis Module • Samenvatting
Summaries for both modules of the course "Causal Analysis in Data Science" at Tilburg University.
Causal Analysis in Data Science: Multilevel Analysis Module
Extensive summary of the module 'Multilevel Analysis' (Causal Analysis in Data Science course). It contains many notes from the video lectures. All video lectures are discussed in detail.
- Voordeelbundel
- Samenvatting
- • 21 pagina's •
Extensive summary of the module 'Multilevel Analysis' (Causal Analysis in Data Science course). It contains many notes from the video lectures. All video lectures are discussed in detail.
Causal Analysis in Data Science: Conditional Process Analysis
All components of the module 'conditional process analysis' are discussed (Causal Analysis in Data Science course): 'Mediation', 'Moderation' and 'Moderated Mediation'. Summary is comprehensive. It contains many notes from the video lectures.
- Boek & Voordeelbundel
- Samenvatting
- • 16 pagina's •
All components of the module 'conditional process analysis' are discussed (Causal Analysis in Data Science course): 'Mediation', 'Moderation' and 'Moderated Mediation'. Summary is comprehensive. It contains many notes from the video lectures.
Summary Deep Learning 2020
Summary for Tilburg University's Deep Learning course (academic year 2019-2020). All 6 lectures are discussed: introduction, Multi-Layer Perceptron, Convolutional Neural Networks, Optimizers and Regularization, Sequence Modeling and Generative Models.
- Samenvatting
- • 21 pagina's •
Summary for Tilburg University's Deep Learning course (academic year 2019-2020). All 6 lectures are discussed: introduction, Multi-Layer Perceptron, Convolutional Neural Networks, Optimizers and Regularization, Sequence Modeling and Generative Models.
Theory questions about Machine Learning material
- Oefenvragen
- • 37 items •
Preparation for Final: Data Science Regulation & Law
Prepare for the final exam of 'Data Science Regulation & Law'. This bundle contains a summary and some practice questions about the theory that is discussed in block 2.
- Voordeelbundel
- • 2 items •
- Block 2: Data Science Regulation & Law Summary • Samenvatting
- Theory questions Data Science Regulation & Law Block 2 • Oefenvragen
Prepare for the final exam of 'Data Science Regulation & Law'. This bundle contains a summary and some practice questions about the theory that is discussed in block 2.
Theory questions Data Science Regulation & Law Block 2
- Oefenvragen
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Block 2: Data Science Regulation & Law Summary
Detailed summary for the master course "Data Science Regulation & Law" at Tilburg University (Data Science and Society). Summary contains all information from the slides, plus notes. It applies to cluster 4 (Public / Administrative and criminal law and data science) and cluster 5 (Ethics).
- Voordeelbundel
- Samenvatting
- • 18 pagina's •
Detailed summary for the master course "Data Science Regulation & Law" at Tilburg University (Data Science and Society). Summary contains all information from the slides, plus notes. It applies to cluster 4 (Public / Administrative and criminal law and data science) and cluster 5 (Ethics).
Machine Learning: Comprehensive Summary
Very useful summary for the Machine Learning course at Tilburg University (Data Science and Society). Summary contains all parts that are discussed in the course (2019) extra examples, explanation and notes. Summary also contains many useful visualizations.
- Samenvatting
- • 24 pagina's •
Very useful summary for the Machine Learning course at Tilburg University (Data Science and Society). Summary contains all parts that are discussed in the course (2019) extra examples, explanation and notes. Summary also contains many useful visualizations.
Summary Deep Learning 2020
Machine Learning: Comprehensive Summary
Machine Learning: Comprehensive Summary
Statistics and Methodology Summary
Summary Language and Thought