Material for the module "Statistics and machine learning" in the course M5: Bioinformatics at University of Heidelberg, Feb 2021, by Wolfgang Huber
The module consists of four parts, as listed below. Each part comprises a series of video lectures (mp4/mov), the slides (PDF), and exercises in the form of a book chapter with questions and exercises. In addition, there will be two Q&A sessions (see below).
- Mon 2021-02-08: Supervised learning. Lecture videos and slides and book chapter and exercises
- Fri 2021-02-12: Visualization graphics. Lecture videos and slides and book chapter and exercises. Plotly demo plots (Rmarkdown).
- Mon 2021-02-15: (Multiple) testing. Lecture videos and slides and book chapter and exercises
- Fri 2021-02-19: Count data and generalized linear models. Lecture videos and slides and book chapter and exercises
How to consume this material: if you want to prioritize, skip the lecture recordings, have a quick scan through the lecture PDFs and read the book chapter carefully.
Monday 15 Feb and 22 Feb 2021, 10:10-10:55 via zoom.