Tilburg University (UVT) • Data Science & Society

Detailed summary of all lectures and additional notes, explanations and examples for the course "Statistics and Methodology" at Tilburg University which is part of the Master Data Science and Society. Course was given by L.V.D.E. Vogelsmeier during the second semester, block three of the academic year 2021 / 2022 (January to March 2022).

Detailed summary of all lectures and additional notes, explanations and examples for the course "Machine Learning" at Tilburg University which is part of the Master Data Science and Society. Course was given by Ç. Güven during the second semester, block four of the academic year 2021 / 2022 (April to June 2022).

Cheat Sheet with all necessary information to pass the exam of "Machine Learning (-M-6)" at Tilburg University. The course is part of the Master Data Science and Society. It was taught in the academic year 2021/2022 in semester 2, block 4 (April to June 2022) by Ç. Güven. The margins on the page are printer friendly and work well for the printers on Tilburg University campus.

Detailed summary of all lectures and additional notes, explanations and examples for the course "Interactive Data Transformation" at Tilburg University which is part of the Master Data Science and Society. Course was given by : E. Ioannou during the second semester, block four of the academic year 2021 / 2022 (April to June 2022).

Detailed summary of all lectures and additional notes, explanations and examples for the course "Data Mining for Business and Governance" at Tilburg University which is part of the Master Data Science and Society. Course was given by Ç. Güven, G.R. Nápoles during the second semester, block three of the academic year 2021 / 2022 (January to March 2022).

Cheat Sheet with all necessary information to pass the exam of "Data Mining for Business and Governance (-M-6)" at Tilburg University. The course is part of the Master Data Science and Society. It was taught in the academic year 2021/2022 in semester 2, block 3 (January to March 2022) by the lecturers Ç. Güven and G.R. Nápoles. The margins on the page are printer friendly and work well for the printers on Tilburg University campus.

Summary of the most important aspects of the course Project Management People and Technology.

This documents contains a summary of the final modules/weeks (4-7) for the course Data Mining for Business and Governance. The following topics are included in this summary: ⋅ Crisp (K-means) clustering ⋅ Fuzzy (c-means) clustering ⋅ Hierarchical clustering ⋅ Text mining ⋅ Preprocessing noisy text ⋅ Document similarity: Jaccard coefficient ⋅ Term frequency, inverse term frequency ⋅ Dimensionality reduction ⋅ Feature selection ⋅ Filtering strategy ⋅ Wrapper s...

This documents contains a summary of the first three modules/weeks for the course Data Mining for Business and Governance. The following topics are included in this summary: ⋅ What is data mining? ⋅ What are the related disciplines? ⋅ What are the applications? ⋅ What is big data? ⋅ Supervised and unsupervised learning ⋅ Examples of supervised and unsupervised learning ⋅ Workflow of supervised learning ⋅ Descriptive analysis: data visualization, exploring data dist...

Een uitgebreide samenvatting met voorbeelden van cluster 4 en 5 van het vak regulation and law aan de universiteit van tilburg.