Machine Learning

Detailed cheatsheet with all important notes for the final exam of the course Machine Learning. I passed the exam by only studying this cheatsheet.

FULL Extensive Summary of all the Machine Learning Lectures! Including additional information where needed. I managed to PASS the Machine Learning Exam with a very good grade using this summary. I bet you will too! Good luck :)

As per request; a full cheatsheet with a single page of code and a page with notes. As the theoretical questions stayed relatively general, this should suffice. Practice the coding, understand what Gregorz asks you to do and ace the exam!

As per request; a full cheatsheet with a single page of code and a page with notes. As the theoretical questions stayed relatively general, this should suffice. Practice the coding, understand what Gregorz asks you to do and ace the exam! Also, don't forget to bring your glasses. For me, it was perfectly readable, but I reckon for those with glasses, it might be slighly harder. I apologize. There is some minimal room left on the second page to write. I aso included some details from another mac...

Very useful summary for the Machine Learning course at Tilburg University (Data Science and Society). Summary contains all parts that are discussed in the course (2019) extra examples, explanation and notes. Summary also contains many useful visualizations.

The document includes all lecture nodes and a summary of the associated chapters that are required to study for the exam Machine Learning 2019.

CONTENT VERY SIMILAR TO 2019/2020 EXAM. Heard from many students that they passed the exam with the help from this document! Thanks for the feedback. Also have a look at my cheatsheet including code! A complete overview of all lectures, including slide snippets and additional notes for the course on Machine Learning by Dr. Gregorz. Hopefully, this should be enough to support you to understand the basics of Machine Learning as this document summarizes all lecture slides and everything he told....

For the Machine Learning exam it is allowed to keep a cheat sheet of 1A4. This is specially made so that all subjects of this course are described in detail, such as Decision Trees, Perceptron, Gradient Descent, Feature Engineering, Logistic Regression and Neural Networks. You are allowed to bring cheat sheet (1A4) with you. On this cheat sheet, all the necessary information (and more) are available on just two sides of paper. The following subjects are included: Decision Trees, Perceptron, Grad...