Major revision of GP for regression (theory part)

Author: krasserm

README.md

@@ -12,12 +12,12 @@ some of the notebooks via [nbviewer](https://nbviewer.jupyter.org/) to ensure a
   [PyMC3 implementation](https://nbviewer.jupyter.org/github/krasserm/bayesian-machine-learning/blob/dev/bayesian-linear-regression/bayesian_linear_regression_pymc3.ipynb).
 
 - [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/krasserm/bayesian-machine-learning/blob/dev/gaussian-processes/gaussian_processes.ipynb)
-  [Gaussian processes](https://nbviewer.jupyter.org/github/krasserm/bayesian-machine-learning/blob/dev/gaussian-processes/gaussian_processes.ipynb). 
+  [Gaussian processes](https://krasserm.github.io/2018/03/19/gaussian-processes/). 
   Introduction to Gaussian processes for regression. Example implementations with plain NumPy/SciPy as well as with libraries 
   scikit-learn and GPy ([requirements.txt](gaussian-processes/requirements.txt)). 
 
 - [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/krasserm/bayesian-machine-learning/blob/dev/gaussian-processes/gaussian_processes_classification.ipynb)
-  [Gaussian processes for classification](https://nbviewer.jupyter.org/github/krasserm/bayesian-machine-learning/blob/dev/gaussian-processes/gaussian_processes_classification.ipynb). 
+  [Gaussian processes for classification](https://krasserm.github.io/2020/11/04/gaussian-processes-classification/). 
   Introduction to Gaussian processes for classification. Example implementations with plain NumPy/SciPy as well as with 
   scikit-learn ([requirements.txt](gaussian-processes/requirements.txt)).