juansacollins / hello-comp_chem-world

My first repository, perhaps where I will be adding useful resources

hello-comp_chem-world

My first repository, perhaps where I will be adding useful resources.

Juansa here, I am learning these fancy tools for the sake of Computational Chemistry, Machine Learning and Data Science. I find fiscinating the convergence between computers and molecules.

I just found some good resources for learning Git and GitHub (version control):

1. Learning Lab: https://lab.github.com
2. GitHub Guides: https://guides.github.com

I just found some good videos:

1. Git & GitHub Crash Course For Beginners: https://www.youtube.com/watch?v=SWYqp7iY_Tc
2. Git and GitHub for Beginners - Crash Course: https://www.youtube.com/watch?v=RGOj5yH7evk

With regards to R:

1. Writing R in VSCode: A Fresh Start https://renkun.me/2019/12/11/writing-r-in-vscode-a-fresh-start/
2. Build A Blog With Jekyll And GitHub Pages https://www.smashingmagazine.com/2014/08/build-blog-jekyll-github-pages/
3. How to set up your own R blog with Github pages and Jekyll Bootstrap https://shiring.github.io/blogging/2016/12/04/diy_your_own_blog

Computational Chemistry:

1. Pythoninchemistry https://pythoninchemistry.org

Resources for Gaussian Processs Regression / Kriging:

• Gaussian Processses for Machine Learning, Rasmussen & Williams http://www.gaussianprocess.org/gpml/chapters/RW.pdf
• A visual exploration of Gaussian Processes https://distill.pub/2019/visual-exploration-gaussian-processes/
• Gaussian Processes for Dummies https://katbailey.github.io/post/gaussian-processes-for-dummies/
• Understanding Gaussian Processes https://peterroelants.github.io/posts/gaussian-process-tutorial/
• Gaussian Process, Wiki https://en.wikipedia.org/wiki/Gaussian_process

This is a change made from my local cloned version, this is being used for test purposes only