Tilburg University (UVT) • Data Science & Society

A 2-page cheat sheet for the course RS: Image Analysis. The content includes screenshots from the slides and all of the course material to help you during the exam.

Deze complete samenvatting voor Natural Language Processing (Master Data Science) helpt je om de hele cursus snel, gestructureerd en diepgaand te herhalen. De stof wordt niet alleen opgesomd, maar ook helder uitgelegd vanaf de basis, zodat je verbanden ziet tussen alle onderdelen van de cursus en begrijpt hoe de onderwerpen op het tentamen terug kunnen komen. De samenvatting behandelt de volledige opbouw van NLP: van de introductie tot corpora, classificatie en Naive Bayes, via preprocessing ...

A summary of the course Machine Learning for DSS master students. This is an extensive summary of all the lecture slides.

A summary of the course Business Intelligence for DSS master students. This is an extensive summary of all the lecture slides.

This is a very detailed and extensive 88-page summary of the whole Machine Learning course. I watched every lecture and included everything from the slides. I also included my own notes and basically wrote down everything the lecturer said. Course given by Dr. Grzegorz Chrupała and Dr. Mojtaba Rostami Kandroodi.

The best preperation you will need for your test. 50 exam like MC questions, awnsers included. A must have to a good preparation!

Extensive summary of computational statistics. Lecture summaries, it consists of 5 parts: - Inferential statistics/ Sampling - Bias, var, mse and Monte Carlo simulations - Resampling: Bootstrap & Permutation/ Model accuracy - Resampling: Cross-validation - Multivariate & high-dimensional data It has a lot of examples that are used during the lectures. Has tables to make it clear/ to discriminate between subjects + has extra notes to explain things that were not clear. Very detailed

Summary of all the lectures of the course health analytics extensive Reading the book is not necessary to pass the exam, my grade for the exam was an 8 and for the quizzes a 10.

The documents consists of the course summary of the big data course. It includes the theory lecture notes but also the practical notes. Both will be tested on the exam. It is an extensive summary with examples and extra notes, a lot of the things said in the lectures are written down verbatim or summarized in a clear way.

Extensive summary of all the lecture notes It is very detailed and has a lot of the material verbatim what is said within the lectures.