diff --git a/Gaussian_Processes.ipynb b/Gaussian_Processes.ipynb index 3f42268..06b1373 100644 --- a/Gaussian_Processes.ipynb +++ b/Gaussian_Processes.ipynb @@ -37,7 +37,7 @@ "## Recommended reading\n", "\n", "* [Overview of Linear Regression](https://towardsdatascience.com/linear-regression-detailed-view-ea73175f6e86)\n", - "* [An Intuitive Guide to Gaussian Processes](https://towardsdatascience.com/an-intuitive-guide-to-gaussian-processes-ec2f0b45c71d)\n", + "* [An Intuitive Guide to Gaussian Processes](https://medium.com/data-science/an-intuitive-guide-to-gaussian-processes-ec2f0b45c71d)\n", " \n", "\n", "\n" diff --git a/Gaussian_Processes.md b/Gaussian_Processes.md index bb7bf40..d2525fa 100644 --- a/Gaussian_Processes.md +++ b/Gaussian_Processes.md @@ -19,7 +19,7 @@ This tutorial is based on work done by Ollie Pollard on using Gaussian Processes ## Recommended reading * [Overview of Linear Regression](https://towardsdatascience.com/linear-regression-detailed-view-ea73175f6e86) -* [An Intuative Guide to Gaussian Processes](https://towardsdatascience.com/an-intuitive-guide-to-gaussian-processes-ec2f0b45c71d) +* [An Intuative Guide to Gaussian Processes](https://medium.com/data-science/an-intuitive-guide-to-gaussian-processes-ec2f0b45c71d) diff --git a/Gaussian_Processes_colab.ipynb b/Gaussian_Processes_colab.ipynb index 44ecb7e..c266690 100644 --- a/Gaussian_Processes_colab.ipynb +++ b/Gaussian_Processes_colab.ipynb @@ -53,7 +53,7 @@ "## Recommended reading\n", "\n", "* [Overview of Linear Regression](https://towardsdatascience.com/linear-regression-detailed-view-ea73175f6e86)\n", - "* [An Intuitive Guide to Gaussian Processes](https://towardsdatascience.com/an-intuitive-guide-to-gaussian-processes-ec2f0b45c71d)\n", + "* [An Intuitive Guide to Gaussian Processes](https://medium.com/data-science/an-intuitive-guide-to-gaussian-processes-ec2f0b45c71d)\n", " \n", "\n", "\n" diff --git a/README.md b/README.md index 2364f01..93dc94e 100644 --- a/README.md +++ b/README.md @@ -24,7 +24,7 @@ This notebook explores Gaussian Processes to find theoretical functions and then If you are unfamiliar with some of the concepts covered in this tutorial it's recommended to read through the background reading below either as you go through the notebook or beforehand. -* [An Intuitive Guide to Gaussian Processes](https://towardsdatascience.com/an-intuitive-guide-to-gaussian-processes-ec2f0b45c71d) +* [An Intuitive Guide to Gaussian Processes](https://medium.com/data-science/an-intuitive-guide-to-gaussian-processes-ec2f0b45c71d) * [Visual article on Gaussian Processes](https://distill.pub/2019/visual-exploration-gaussian-processes/) ## Quick look