Vrije Universiteit Amsterdam (VU) • Business Analytics

This is a summary of the book of Mathematical Worlds written by Danny Beckers. The summary contains all the highlights of the book including thoughts about certain events and notes from the lectures. Every chapter is clearly stated with subtitles, important people from that time and a little summary for each chapter. Chapter 1 to 9 have been covered including the epilogue.

This summary contains all material discussed in the lectures (1-13) of Machine Learning taught at the Vrije Universiteit Amsterdam to third year Business Analytics, Information Science, Computer Science and Artificial Intelligence bachelor students. It is quite extensive, contains a lot more than just theoretical formulas (I think it is hard to memorise them without knowing some background) so everything I wrote is explained with a sketch, example or some extra information that all helped me t...

A summary of the first half of the SDA lectures and syllabus, covering all the important topics for the first exam.

Summary of all the lecture slides, lecture notes, and articles on business intelligence and analytics for the year 2022-2023. I have read all the articles, I made sure that the important topics are mentioned in the summary. Stressed about not being able to read all the articles, didn't attend the lectures, or just want a structured summary of all the topics? This is your solution!

This is an extensive summary of the History of Science Chapter 1-7 covering all major happenings and people throughout CH1-7.

This summary contains all material taught in the course Combinatorial Optimization to 3rd years Business Analytics student at the VU Amsterdam. I found the information in this course quite overwhelming and hard to understand without the right examples. Therefore, I combined the material from the slides and the book with extra explanations found on internet or lectures from similar courses. The summary contains a lot of examples, for both the theoretical (simple graphs are drawn to visualise th...

Een samenvatting van alle lectures (1 t/m 12) van het vak Web Data Processing Systems aan de VU Amsterdam. Kort, duidelijk en overzichtelijk samengevat met ondersteundende afbeeldingen waar nodig.

This is a summary of all material from the course statistical models and contains everything you need to know for the exam. It contains all 4 topics: analysis of variance, generalized linear models, nonlinear regression and time series.

Summary of theory for stochastic modelling @ VU P1

Summary of theory in stochastic modelling course at VU: CTMC and queuing models