A collection of useful functions, implementations and templates.
- Nice overview of python programming language: http://www.diveintopython.net/
- Python 3 by the same author: http://www.diveintopython3.net/
- Introduction to Rcpp with examples: http://adv-r.had.co.nz/Rcpp.html
- Stanford Algorithms 1 & 2:
- Short non-technical introduction: http://katbailey.github.io/post/gaussian-processes-for-dummies/
- Which kernel shall I use? http://www.cs.toronto.edu/~duvenaud/cookbook/index.html
- Python package: https://github.com/fmfn/BayesianOptimization
- Online Course with Introduction to GP and BO:
- Comprehensive lecture by Dr. Brad Osgood
- Short review: https://cs.stanford.edu/~ppasupat/a9online/1237.html