Vrije Universiteit Amsterdam (VU) • Business Analytics

This summary contains all material (including examples) discussed in the course Statistics for Business Analytics and Math students of the Vrije Universiteit Amsterdam. The chapters included are: 1.1, 1.2, 2.1, 2.2, 3.1, 3.2, 3.3, 3.4, 3.5, 6.3.2, 4.1, 4.2, 4.3, 4.4, 4.5, 4.6.1, 4.6.2, 4.6.3, 4.6.4, 4.7, 5.1, 5.2, 5.3, 5.4, 5.5, 5.6, 7.2.1 & 7.2.2

Machine learning is an important subject in Introductio to Data Science. That is why I made a brief overview of all the models that we need to know.

A brief overview of the lectures of the course Introduction to Data Science.

Basically a summary of a summary. If you read this just before your midterm, it will definitely improve your grade.

If you did not attend the lectures, it is quite useful to take a look at this summary. It gives you quickly an overview of the important algorithms you need to know and discusses all the important data structures as well.

For the course Introduction to Data Science, you get a lot of extra reading material (articles, papers, etc.). It has helped me quite a bit to summarise (or at least make an overview of) this material. In the test, they ask a considerable amount of questions about this, so it's nice for you to read this just before your exam.

This summary contains all material (including examples) discussed after the midterm of Probability Theory for Business Analytics and Math students of the Vrije Universiteit Amsterdam. The chapters included are: 5.4.1, 5.5, 5.6, 5.7, 6.1, 6.2, 6.3, 6.4, 6.5, 7.1, 7.2, 7.4, 7.5 & 8.3.1

This is a solution manual for pattern recognition and machine learning. It contains detailed solutions for the questions in the relevant book. Helpful for understanding and verifying the approach and correctness of solutions.

Summary of the lecture slides of Databases. X_

Summary of all lectures