Machine Learning for the Quantified Self
Vrije Universiteit Amsterdam (VU)
Here are the best resources to pass Machine Learning for the Quantified Self. Find Machine Learning for the Quantified Self study guides, notes, assignments, and much more.
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Summary
Machine Learning for the Quantified Self - Summary Slides
A summary of all the slides for the course Machine Learning for the Quantified Self, MSc AI.
Summary
Summary - Machine Learning for the Quantified Self (XM_40012)
PopularSummary of all lectures in the course Machine Learning for the Quantified Self, taught at the Vrije Universiteit (VU) at the Master's in Computer Science.
Package deal
Machine Learning for the Quantified Self - Book and Slides Summary
Complete Book and Slides Summary for the course Machine Learning for the Quantified Self, MSc AI.
Summary
Machine Learning for the Quantified Self - Book Summary per Chapter
A summary per chapter for the book "Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data" by Mark Hoogendoorn 
 and Burkhardt Funk.
Summary
Exam summary - Machine Learning for the Quantified Self (XM_40012)
All the important terms, formulas, examples and facts you need to know before the Machine Learning for the Quantified Self exam.
Summary
Summary MLfQS including answers to book questions
A summary of the lecture videos, including answers to the practice questions given for each lecture.
Class notes
College notes Machine Learning for the quantified self (XM_40012)
All notes for the ML4QS box. Thanks to these notes, you don't have to watch a single slide/lecture just practice with old exams. Thanks to my notes, I got a 9.5 for the exam.
Summary
ML4QS Book and Lectures summary
Full summary of the book "Machine Learning for the Quantified Self" by Hoogendoorn & Funk and additional notes from the lectures of the course included as well.