Tilburg University (UVT) • Data Science: Business & Governance

As per request; a full cheatsheet with a single page of code and a page with notes. As the theoretical questions stayed relatively general, this should suffice. Practice the coding, understand what Gregorz asks you to do and ace the exam! Also, don't forget to bring your glasses. For me, it was perfectly readable, but I reckon for those with glasses, it might be slighly harder. I apologize. There is some minimal room left on the second page to write. I aso included some details from another mac...

Includes all lectures and summaries of articles for the Health Analytics course

Cheatsheet for Data Mining exam. (You can use 1 double sided A4)

CONTENT VERY SIMILAR TO 2019/2020 EXAM. Heard from many students that they passed the exam with the help from this document! Thanks for the feedback. Also have a look at my cheatsheet including code! A complete overview of all lectures, including slide snippets and additional notes for the course on Machine Learning by Dr. Gregorz. Hopefully, this should be enough to support you to understand the basics of Machine Learning as this document summarizes all lecture slides and everything he told....

MADE FOR THE 2018 EXAM, BUT BASED ON REVIEWS ALSO WORKED ON THE 2019 EXAM. CONTENT IS THE SAME (more or less, according to 2019/2020 students). Many have passed the exam with just this document. Best of luck studying! Original description: This document gives you a complete overview of this course. It includes textual information on the course, with the most important slides and diagrams included. Also, it contains several articles that weren't explained to my liking in the slides/lectures. ...

This summary is all you need to take with you to the open book exam. Every mandatory subject from the book 'Business Analytics' from James R. Evans plus extra information is in this summary. It tells you how to solve each question step-by-step, including the 'trick questions'. The lectures are known to be confusing and everything is simplified in this summary. Extremely helpful, especially when you have trouble understanding the subjects, or even math. All subjects: probabilities, distribution...

Voor het tentamen Machine Learning is het toegestaan om een cheatsheet van 1A4 bij te houden. Deze is speciaal gemaakt zodat alle onderwerpen van dit vak uitgebreid zijn beschreven, zoals Decision Trees, Perceptron, Gradient Descent, Feature Engineering, Logistic Regression en Neural Networks. English: for the Machine Learning exam, you are allowed to bring one cheatsheet (1A4) with you. On this cheatsheet, all the necessary information (and more) are on just two sides of paper. The following ...

Full summary including an introduction of Machine Learning and algorithms, such as Decision Tree, Perceptron, Gradient Descent, Logistic Regression (classifier) and Neural Networks. This summary also includes a section about Feature Engineering. Extra context and illustrations/graphs are also given, which makes this field of study a bit more understandable.

in de samenvatting staan de verschillen tussen privacy en data protection goed uitgelegd. Verder zijn alle colleges en artikelen die voor de colleges gelezen moesten worden samengevat, waaronder de 7 principles. Met deze samenvatting heb ik het vak met een 8.5 gehaald.

Uitgebreide en duidelijke beschrijving bij elk topic van data processing. Uitleg en screenshots van code. Handig voor het tentamen. van 2016-2017.