...
– Organizational meeting
develop list of topics for the semester
pair and share – break out into smaller groups and share what you have been up with respect to data science, what you’ve been wanting to learn, and learn about other people in the group.
– Lars Kotthoff will do a brief intro to mlr3pipelines
– Dylan Perkins (ARCC/End User Support): Intro to shared computing at UW – Teton compute and storage resources (video is below, slides are in https://docs.google.com/presentation/d/145AVEOLHi22CPn0IwpLkVCNWJ7ZzGJq1fZDWt4IBE8I/edit?usp=sharing).
As a follow-up, please contact arcc-info@uwyo.edu with questions.
Please drop them a line if you are interested in participating in some testing of the new browser-based, graphical interface they are developing to the teton compute resources. They would appreciate several people testing the system.
– hands on teton
Tasks you would like help with or demonstrated, from entry-level to advanced
we did one big group screen share to show:
how to configure ssh so that we can provide Teton password and validation (2FA) once per session
how to launch a SLURM interactive session to do some text wrangling with UNIX command line tools
demonstrate two ways of using text editors to write bash scripts that can be executed on teton; this include making a SLURM compliant script that we submitted withs batch
our script demo’d the use of /dev/shm, /lscratch, and /gscratch for simulation output and how to move data home and clean up after yourself at the end
We did not get to demo how to install R packages yourself. Instead, I started a Knowledge Base entry on this, which you are welcome to add to, edit, and improve.
– Short demonstration of LaTeX as implemented in Overleaf, followed by hands-on session for participants to sign-up for a free account, make documents with one or more templates, and ask questions of more experienced users. Alex Buerkle will do initial demo and will ask for helpers to assist others in hands-on session.
Overleaf features:
the direct submission button (arxiv, biorxiv, society journals, etc.)
built-in version control
built-in multi-author, shared editing
Latex features
references to figures, tables, supplementary sections
citation management and bibliography
sectioning
Follow-up:
– an introduction to Bayesian modeling. Eryn McFarlane Topher Weiss-Lehman will discuss the basis of Bayesian thinking and talk about why one might want to use Bayesian methods.
– an introduction to computational Bayesian modeling (Andrew Siefert , Joshua Harrison. Why do computers help when doing Bayesian statistics? What does sampling and convergence mean? A high level overview of the different tools one can use to do Bayesian statistics. Finish with illustration of a model specified with R and Stan so that folks can get an idea of the modeling process.
Animation of samplers for Bayesian modeling: https://chi-feng.github.io/mcmc-demo/app.html
HERE is a git repo that has the code for the little mini-talk that Josh gave. We can keep posting Bayesian stuff here if we want. Feel free to do pull requests. If you have not used git, you can go to that link and view the different files and download them as you like.
– (***Depending on interest***) More on Bayesian models implemented in STAN, with illustration of using different samplers (MCMC, HMC) or approximation methods (variational inference), convergence diagnostics, and maybe hierarchical modelsBreakout groups for hands-on and Q&A regarding Bayesian models for parameter estimation and inference. Request a group below. We’ll add one or two more at the beginning of the meeting.
…
– Reproducible research with R, Git, LaTeX, etc. Jessi Rick & others welcome to join in
let Jessi know if you have workflows/ideas that you’d like to add to the discussion
– …
In the queue to place on the schedule:
...