Vrije Universiteit Amsterdam (VU) • Business Analytics

Entrepreneurship in Analytics & AI (XM_0090) — Complete Exam Study Summary | Vrije Universiteit Amsterdam Comprehensive, exam-focused study summary for the course Entrepreneurship in Analytics & AI (XM_0090) at Vrije Universiteit Amsterdam, covering all 6 weeks of lecture slides and all required academic readings. What's included: - Full week-by-week coverage of all lectures (Weeks 1–6) with core frameworks, key concepts, and definitions - Detailed summaries of all 10 required readi...

Summary of all the lessons and chapters of the book you need to learn

Summary of all lectures based on the lecture slides and summary of all articles you need to read.

This summary contains all of the content of the second period of the Stochastic modeling course with examples and proofs. Goodluck on the exam.

Almost all names and important happenings in the first seven chapters of History Of Science (X_400652)

Very short summary of the first four chapters of history of science X_400652

This summary includes all material of the first period that is needed for the midterm. The summary includes detailed examples on all topics.

Preparing for the Stochastic Modelling midterm at VU Amsterdam? It's no secret—it's tough! But, breathe easy. This summary has you covered for the first midterm. Don't drown in the sea of notes, streamline your revision with this guide.

Hey there! Prepping for the Java exam at VU Amsterdam? I've got you covered! I've summarized everything from this year's completely overhauled course, capturing all the crucial info from the slides. Whether you're refreshing old concepts or grappling with the new stuff, this guide is your ticket to ace the exam. Don't miss out on the ultimate study companion. Let's nail this exam together!

Complete statistics notes topic2-5 and distributions summary

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