Clustering - Samenvattingen en Aantekeningen

These lectures cover the material for the FINAL EXAM. But some basic knowledge about the 1st 6 lectures is required to fully understand all the material.

This 2 page (one piece of paper) cheatsheet gives a full overview of all of the theoretical datascience topics including classification approaches like Bayes Theorem. Please note that the preview page is blurred as this page makes half of the complete document, therefore including a bunch of valuable info.

A summary of all the slides for the course Machine Learning, BSc AI.

I achieved a score of 18 out of 20, the greatest distinction, in the 'Machine Learning' course in 2024. This success is attributed to the systematic study material I authored on my own. In the second part, it contains chapter 6 to 9, covering the KNN, clustering, recommendation system, ANN, text mining, etc. with a meticulously made navagation pane.

This document contains all notes on the lectures 1-7, included additional figures and pictures to clarify. It contains everything that has been said in class - from different theories, to defenitions and concepts.

THIS IS A COMPLETE NOTE FROM ALL BOOKS + LECTURE! Save your time for internships, other courses by studying over this note! Are you a 1st/2nd year of Business Analytics Management student at RSM, who want to survive the block 2 Machine Learning module? Are you overwhelmed with 30 pages of reading every week with brand-new terms and formulas? If you are lost in where to start or if you are struggling to keep up due to the other courses, or if you are just willing to learn about Machine Lea...

This is a summary of all the required and further readings of Social and institutional change. It is written in English. It contains the required and further readings, including: - Comparing theories of institutional change (Kingston and Caballero) - Five rules for the evolution of cooperation (Nowak) - Models of the welfare state (Manow) - Culture and welfare state policies: reflections on a complex interrelation (Pfau-Effinger) - Immigration and welfare states: a survey of 15 years of ...

These 6 lectures cover all the material for the MIDTERM EXAM.

Alles wat je moet weten voor het vak Network Science (en Python in het algemeen). Dit bestand bestaat uit zowel een samenvatting als de meest belangrijke concepten (met uitwerkingen) die gehanteerd worden in het vak network science. Het fijne aan dit bestand is dat het uitleg geeft bij de gegeven codes. Veel van deze codes/theorieën kwamen terug in het tentamen.

THIS IS A COMPLETE NOTE FROM ALL BOOKS + LECTURE! Save your time for internships, other courses by studying over this note! Are you a 1st/2nd year of Business Analytics Management student at RSM, who want to survive the block 2 Machine Learning module? Are you overwhelmed with 30 pages of reading every week with brand-new terms and formulas? If you are lost in where to start or if you are struggling to keep up due to the other courses, or if you are just willing to learn about Machine Lea...