Lectures for the 2019 Kavli Summer Program in Astrophysics
Lectures by David Kirkby on machine learning for the Kavli Summer Program in Astrophysics hosted by UC Santa Cruz in July 2019:
Videos of the orginal lectures are available in three parts: part1, part2, part3
The slides are based on jupyter notebooks that contain all of the code used for the examples and plots (usually in cells that the slideshow skips). Use the [notebook] links above to view these notebooks. To run the notebooks yourself, you can download them and create a conda environment with the necessary packages:
git clone https://github.com/dkirkby/kavli2019
cd kavli2019
conda env create -f environment.yml
conda activate K19
jupyter notebook
These lectures use material from the UC Irvine Machine Learning & Statistics for Physicists grad course.
If you are interested in presenting your own notebooks as a slideshow, see here for an overview. There are two important caveats (as of July 2019):
jupyter notebook
front end, not the new jupyter lab
.If find errors or have suggestions for improvement, please create an issue.
This material is (c) 2019 David Kirkby dkirkby@uci.edu and released under an MIT License.