Advanced-Machine-Learning-Reading-Group

Notebooks and tutorials for the advanced machine learning reading group at Glasgow University

Bayesian Data Analysis course from Aalto University, Finland

https://github.com/avehtari/BDA_course_Aalto.git

For an introduction to MCMC

https://github.com/johnhw/mcmc_demo_2019.git

Online materials for Gaussian Processes

Very nice for building intuition: https://www.jgoertler.com/visual-exploration-gaussian-processes/

Good video intros: https://www.youtube.com/watch?v=R-NUdqxKjos Or: http://gpss.cc/gpss18/program (first lecture, also other lectures for more in depth things)

Intro blog posts and code: https://yugeten.github.io/posts/2019/09/GP/ Or: https://katbailey.github.io/post/gaussian-processes-for-dummies/

Maybe: https://planspace.org/20181226-gaussian_processes_are_not_so_fancy/

Another good explanation with NumPy implementation: http://krasserm.github.io/2018/03/19/gaussian-processes/

Toolboxes: https://github.com/SheffieldML/GPy (tutorials: https://github.com/SheffieldML/notebook) https://github.com/cornellius-gp/gpytorch https://github.com/GPflow/GPflow https://github.com/wesselb/stheno