As part of a lecture series on Machine Learning, I delivered a couple of lectures on Bayesian Optimization and Gaussian Processes. I have made the lecture notes available on my github repo

The lectures cover introduction to Gaussian Processes, bayesian optimization and various ways we can perform bayesian optimization. Any comments or suggestions are always welcome!