Machine Learning
Vrije Universiteit Amsterdam (VU)
Here are the best resources to pass Machine Learning. Find Machine Learning study guides, notes, assignments, and much more.
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Class notes
College Notes Machine Learning Week 1 - 5
College aantekeningen Machine Learning Week 1 - 5 (2 colleges per week)
hannah85
Summary
Samenvatting - Machine Learning (X_400154)
PopularMachine Learning summary for the 2nd year of artificial intelligence study. All chapters and lectures before the exam.
simonvanrens
Summary
Machine Learning - Slides Summary
A summary of all the slides for the course Machine Learning, BSc AI.
tararoopram
Summary
Complete Summary Machine Learning (X_400154)
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...
jorinemol
Summary
All lectures in a nutshell!
This summary is comprehensive, but contains everything you need to get a good exam grade! I got an 8.5 myself, so this should work out! In addition to the summary, I would also take the practice exam (for the application questions), then you are completely ready to go!
gideonrouwendaal
Summary
Summary of the course machine learning, second year AI bachelor at the VU.
This document provides a relatively extensive summary of the machine learning course, given in the second year of the AI bachelor. It covers all video's used as lecture material in the year 2020 - 2021, during the COVID breakout.
freekcool
Summary
Summary Machine Learning - All Lecture Notes (1-13)
Lectures 1 to 13 summarised > everything you need to know for the exam!
femkestokkink
Answers
Solution Manual For PRML
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.
neobit
![[ Machine Learning ] Samenvatting | Lecture Notes | Summary | 2019](/docpics/5c951817236c2_521040.jpg)
Summary
[ Machine Learning ] Samenvatting | Lecture Notes | Summary | 2019
These are lecture notes/summary of Machine Learning (specifically lecture 1 - 10) from the study Artificial Intelligence/Lifestyle Informatics/Computer Science/IMM/etc. at the VU Amsterdam (2019). Everything marked in yellow is extra important, everything that's blue is a given example.
gg2000
Summary
Machine Learning summary slides/lectures
Machine learning summary of all the slides & lectures. All the important concepts are covered. Some text is literally copied from the slides, while a lot of the text explains the terms in easy words with help of external sources.
luuun2