add course survey

christophM · Jul 30, 2024 · ec7613a · ec7613a
1 parent e554eb2
commit ec7613a
Show file tree

Hide file tree

Showing 2 changed files with 10 additions and 0 deletions.
diff --git a/manuscript/00.0-preface.Rmd b/manuscript/00.0-preface.Rmd
@@ -18,6 +18,10 @@ Machine learning has great potential for improving products, processes and resea
 But **computers usually do not explain their predictions** which is a barrier to the adoption of machine learning.
 This book is about making machine learning models and their decisions interpretable.
 
+```{r child = 'course.Rmd', eval = is.html}
+```
+
+
 After exploring the concepts of interpretability, you will learn about simple, **interpretable models** such as decision trees, decision rules and linear regression.
 The focus of the book is on model-agnostic methods for **interpreting black box models** such as feature importance and accumulated local effects, and explaining individual predictions with Shapley values and LIME.
 In addition, the book presents methods specific to deep neural networks.

diff --git a/manuscript/course.Rmd b/manuscript/course.Rmd
@@ -0,0 +1,6 @@
+<div style="text-align: center; background-color: #fff; padding: 10px; border-radius: 8px; box-shadow: 0 0 10px rgba(0,0,0,0.1); max-width: 400px; margin: auto;">
+<h1 style="color: #007BFF; font-size: 22px;">Interpretable ML Online Course</h1>
+<p style="font-size: 16px; margin: 15px 0;">I'm excited to announce that I'm planning an online course on Interpretable Machine Learning. To help me tailor the course to your needs, please take a moment to complete this short survey.</p>
+<a href="https://docs.google.com/forms/d/e/1FAIpQLSfu3GW5HTbe06PBLSeN7vbU2K44fH24BmbS1MOF8iePgmF3-A/viewform?usp=sf_link" style="background-color: #007BFF; color: #fff; border: none; padding: 10px 20px; font-size: 16px; border-radius: 5px; cursor: pointer; text-decoration: none;">Take the Survey</a>
+</div>
+