Data science and society - Samenvattingen en Aantekeningen

Summary of all the lectures of Interactive Data Transformation. It contains all the relevant material needed for the final exam.

Some exercises with answer from the Final exam

English summary of the Data Mining fro Business and Governance course from Master in Data Science and Society. Summary of lecture materials, readings, and notes.

Detailed summary of all lectures and additional notes, explanations and examples for the course "Deep Learning" at Tilburg University which is part of the Master Data Science and Society. Course was given by G. Saygili during the first semester, block one of the academic year 2022 / 2023 (September to October 2022).

The file contains materials to prepare for the course exam of Statistics and Methodology (880259-M-6), the core course for the M.Sc. Data Science & Society. It includes theoretical concepts from all 10 lectures. Knowing and being able to reproduce the materials of this summary should allow for a successful result on the exam.

Summary of Business Intelligence for Data Science, based on the lectures from the Master’s program in Data Science and Society at Tilburg University

Cheat Sheet for Machine Learning Exam: This cheat sheet includes all the necessary information to pass the Machine Learning exam. It contains relevant details from the lectures, and I could answer every question on the exam with it. Printing compatibility with campus printers has been tested and works good.

Summary of the course Statistics and Methodology (Msc Data Science and society).

Summary of Business Intelligence for Data Science, based on the lectures from the Master’s program in Data Science and Society at Tilburg University

This two-page Data Science and Statistics (DSS) Cheat Sheet is designed to support students preparing for the INFOMDSS open book exam, providing a focused yet comprehensive overview of essential clustering, classification, and evaluation metrics. With quick-reference explanations of key concepts—such as clustering methods (K-means, DBSCAN), performance metrics (Silhouette Index, ROC curves), and data quality measures—this cheat sheet is also a valuable resource for other data science courses...