Tilburg University (UVT)

Extensive Summary of the lectures of Families in Context, part of the sociology Bachelor and pre-master program.

Very complete and extensive summary of the lectures of the Consumer Behavior course. Everything you need to know for the multiple choice exam.

This summary contains all the study material for the multiple choice exam of Attitudes and Advertising. Part of the Major and Minor track of Economic Psychology.

The summary is based on course materials, readings and tutorials. I realized that the classification of criminological theories (Week 4) might be a bit confusing there, so I attached an annexe to it for clarification (Pages 62-64).

Aantekeningen van de 2 colleges die gaan over het boek Strategy, HRM, and Performance, hoofdstuk 2 t/m 7, gegeven door Jaap Paauwe. Samen met de hoofstukken 2 t/m 7 de stof die gekend moet zijn voor het MC tentamen

Report for the course organizational behaviour E (30J102-B-6)

Machine Learning Cheatsheet + 27 questions that were asked in the exam. There are no answers included.

Quick revision notes for last-minute study, which include 2-3 key questions for each lecture and 20 questions that were asked in the exam. Answers are included.

This document provides a thorough exploration of the intersection between data science and law, with an emphasis on the differences between civil law and common law systems. It covers the legal grounds for collecting and processing data, including the obligations of data controllers and processors. The document also delves into data protection regulations, ethical considerations, and the legal responsibilities that data scientists and organizations must follow. A key focus is on how to handle br...

This document provides an in-depth summary of key topics in machine learning, covering both the theoretical foundations discussed in the lectures and the practical implementation of algorithms using R. It explores a range of machine learning algorithms such as linear regression, logistic regression, decision trees, and support vector machines (SVM), along with methods like k-Means clustering and Principal Component Analysis (PCA). The document also delves into the practical aspects of implementi...

This document provides a comprehensive overview of key topics in pattern mining, focusing on association rule mining and sequential pattern mining, as covered in the course lectures and slides. It explores foundational algorithms like Apriori, PrefixSpan, and GSP, examining their applications in discovering frequent itemsets, generating association rules, and mining sequential patterns from large datasets. The document also addresses the challenges of redundancy in mining results and discusses t...

Looking to ace your exams or finally understand data mining and machine learning? This summary is your ultimate guide to mastering the subject. It takes you step by step through clustering methods like k-means and fuzzy c-means, helping you see how data can be grouped in meaningful ways. You’ll learn how to handle messy datasets by preprocessing, scaling, and encoding features, making them ready for analysis. Dimensionality reduction, often seen as a complex topic, is broken down into easy-...

A summary of the lectures and the book. Very detailed, I received a 7,5 for the exam using only this summary !

A summary of the lectures and the book. Very detailed, I received a 7,5 for the exam using only this summary !

A summary of the lectures and the book. Very detailed, I received a 9 for the exam using only this summary !

A summary of the lectures and the book. Very detailed, I received a 9 for the exam using only this summary !

A summary of the lectures and the book. Very detailed, I received an 8,5 for the exam using only this summary !

A summary of the lectures and the book. Very detailed, I received an 8 for the exam using only this summary !

A summary of the lectures and the book. Very detailed, I received a 7,5 for the exam using only this summary !

A summary of the lectures and the book. Very detailed, I received a 7,5 for the exam using only this summary !