Update githubb pages site with binder and small readme phrasing.

Author: jatkinson1000

README.md

@@ -215,7 +215,7 @@ python -m ipykernel install --user --name=MLvenv
 ### Google Colab
 
 Running on Colab is useful as it allows you to access GPU resources.  
-To run the notebooks in Google Colab click the following links for each of the exercises:
+To launch the notebooks in Google Colab click the following links for each of the exercises:
 
 * [Exercise 01](https://colab.research.google.com/github/Cambridge-ICCS/ml-training-material/blob/colab/exercises/01_penguin_classification.ipynb) - [Worked Solution 01](https://colab.research.google.com/github/Cambridge-ICCS/ml-training-material/blob/colab/worked-solutions/01_penguin_classification_solutions.ipynb)
 * [Exercise 02](https://colab.research.google.com/github/Cambridge-ICCS/ml-training-material/blob/colab/exercises/02_penguin_regression.ipynb) - [Worked Solution 02](https://colab.research.google.com/github/Cambridge-ICCS/ml-training-material/blob/colab/worked-solutions/02_penguin_regression_solutions.ipynb)
@@ -229,8 +229,8 @@ _Notes:_
 
 ### binder
 
-If you cannot operate using a local install, and do not wish to sign up for a Colab account,
-the exercises can be launched
+If you cannot operate using a local install, and do not wish to sign up for a Google account,
+the repository can be launched
 [on binder](https://mybinder.org/v2/gh/Cambridge-ICCS/ml-training-material/main).
 
 _Notes:_

slides/index.html

@@ -86,6 +86,7 @@ <h2 id="contents">Contents</h2>
               <ul>
                 <li><a href="#github">GitHub</a></li>
                 <li><a href="#colab">Colab</a></li>
+                <li><a href="#binder">binder</a></li>
                 <li><a href="#solutions">Solutions</a></li>
               </ul>
               <li><a href="#prerequisites">Prerequisites</a></li>
@@ -135,6 +136,7 @@ <h2 id="setup">Setup Instructions</h2>
           <ul>
             <li><a href="#github">a local install via Github</a></li>
             <li><a href="#colab">online via Google Colab</a></li>
+            <li><a href="#binder">online via binder</a></li>
           </ul>
 
           <p>We recommend the local install approach, especially if you forked the repository, as it is the easiest way to keep a copy of your work and push back to github.</p>
@@ -183,7 +185,8 @@ <h6>Optional) Keep virtual environment persistent in Jupyter Notebooks</h6>
           <code>python -m ipykernel install --user --name=MLvenv</code></p>
 
           <h4 id="colab">Google Colab</h4>
-          <p>To run the notebooks in Google Colab click the following links for each of the exercises:</p>
+          <p>Running on Colab is useful as it allows you to access GPU resources.<br>
+             To launch the notebooks in Google Colab click the following links for each of the exercises:</p>
           <ul>
             <li><a href="https://colab.research.google.com/github/Cambridge-ICCS/ml-training-material/blob/colab/exercises/01_penguin_classification.ipynb">Exercise 01</a></li>
             <li><a href="https://colab.research.google.com/github/Cambridge-ICCS/ml-training-material/blob/colab/exercises/02_penguin_regression.ipynb">Exercise 02</a></li>
@@ -196,6 +199,17 @@ <h4 id="colab">Google Colab</h4>
             <indent>If you leave a Colab session your work will be lost, so be careful to save any work you want to keep.</indent>
           </i></p>
 
+          <h4 id="binder">binder</h4>
+          <p>To run the notebooks in binder click the following link:</p>
+          <ul>
+            <li><a href="https://mybinder.org/v2/gh/Cambridge-ICCS/ml-training-material/main">Launch repository in binder</a></li>
+          </ul>
+
+          <p><i>Notes:<br>
+            <indent>If you leave a binder session your work will be lost, so be careful to save any work you want to keep.</indent>
+            <indent>Due to the limited resources provided by binder you will struggle to run training in exercises 3 and 4.</indent>
+          </i></p>
+
           <h4 id="solutions">Solutions</h4>
 
           <p>Worked solutions for all of the exercises can be found in the <inlinecode>worked-solutions/</inlinecode> directory.
@@ -246,7 +260,7 @@ <h4>Python</h4>
           </ul>
 
           <h4>git and GitHub</h4>
-          <p>Unless participating via <a href="#colab">Colab</a> you will be expected to know how to:</p>
+          <p>Unless participating via <a href="#colab">Colab</a> or <a href="#binder">binder</a> you will be expected to know how to:</p>
           <ul>
           <li>clone and/or fork a repository,</li>
           <li>commit, and</li>