_index.md (620B)
1 +++ 2 title = 'Machine Learning for the Quantified Self' 3 +++ 4 5 # Machine Learning for the Quantified Self 6 1. [Introduction & Basics of Sensory Data](introduction-basics-of-sensory-data) 7 2. [Handling sensory noise](handling-sensory-noise) 8 3. [Feature engineering](feature-engineering) 9 4. [Clustering](clustering) 10 5. [Supervised learning](supervised-learning) 11 12 [A good video on dynamic time warping](https://www.youtube.com/watch?v=_K1OsqCicBY). 13 You can test it out yourself with [the dtw package](https://dynamictimewarping.github.io/) in R and Python. 14 15 I used Anki to study for the exam, [here's the Anki deck](ML4QS.apkg).