From 7330de62d1e5fe1e5624117c9e5baed9658e6e22 Mon Sep 17 00:00:00 2001
From: Dasha Maliugina <105814287+dmaliugina@users.noreply.github.com>
Date: Fri, 3 Nov 2023 18:16:27 -0300
Subject: [PATCH 1/4] Update README.md


From a02e12ced4396b3bc88c3f0a656beae27982ad4e Mon Sep 17 00:00:00 2001
From: Dasha Maliugina <105814287+dmaliugina@users.noreply.github.com>
Date: Fri, 3 Nov 2023 18:17:59 -0300
Subject: [PATCH 2/4] Update how-to-prioritize-monitoring-metrics.md

---
 .../how-to-prioritize-monitoring-metrics.md                     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/book/ml-observability-course/module-4-designing-effective-ml-monitoring/how-to-prioritize-monitoring-metrics.md b/docs/book/ml-observability-course/module-4-designing-effective-ml-monitoring/how-to-prioritize-monitoring-metrics.md
index 730601b..f1a317e 100644
--- a/docs/book/ml-observability-course/module-4-designing-effective-ml-monitoring/how-to-prioritize-monitoring-metrics.md
+++ b/docs/book/ml-observability-course/module-4-designing-effective-ml-monitoring/how-to-prioritize-monitoring-metrics.md
@@ -75,7 +75,7 @@ An important thing to add is monitoring the number of model predictions. This is
 
 ![](<../../../images/2023110\_course\_module4\_fin.025-min.png>)
 
-**2. Model performance **
+**2. Model performance**
 
 This set of metrics answers the question "How does the service perform?" and “Did anything break?” 
 

From e171d6b5ce72c5b5ab941f2f3f68a7271ff6300b Mon Sep 17 00:00:00 2001
From: Dasha Maliugina <105814287+dmaliugina@users.noreply.github.com>
Date: Fri, 3 Nov 2023 18:20:20 -0300
Subject: [PATCH 3/4] Update README.md

---
 docs/book/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/book/README.md b/docs/book/README.md
index 6f76d06..90c4ac0 100644
--- a/docs/book/README.md
+++ b/docs/book/README.md
@@ -43,7 +43,7 @@ ML observability course is organized into six modules. You can follow the comple
 [Module 3. ML monitoring for unstructured data: NLP, LLM, and embeddings](ml-observability-course/module-3-ml-monitoring-for-unstructured-data/readme.md). 
 {% endcontent-ref %}
 
-{% content-ref url="ml-observability-course/module-4-designing-effective-ml-monitoring.md" %}
+{% content-ref url="ml-observability-course/module-4-designing-effective-ml-monitoring/readme.md" %}
 [Module 4. Designing effective ML monitoring](ml-observability-course/module-4-designing-effective-ml-monitoring/readme.md). 
 {% endcontent-ref %}
 

From e25f3c9c686cbe5d8b88329ab1925313491249fb Mon Sep 17 00:00:00 2001
From: Dasha Maliugina <105814287+dmaliugina@users.noreply.github.com>
Date: Fri, 3 Nov 2023 18:21:37 -0300
Subject: [PATCH 4/4] Update choosing-ml-monitoring-deployment-architecture.md

---
 .../choosing-ml-monitoring-deployment-architecture.md            | 1 +
 1 file changed, 1 insertion(+)

diff --git a/docs/book/ml-observability-course/module-4-designing-effective-ml-monitoring/choosing-ml-monitoring-deployment-architecture.md b/docs/book/ml-observability-course/module-4-designing-effective-ml-monitoring/choosing-ml-monitoring-deployment-architecture.md
index 24bcc65..3089cf3 100644
--- a/docs/book/ml-observability-course/module-4-designing-effective-ml-monitoring/choosing-ml-monitoring-deployment-architecture.md
+++ b/docs/book/ml-observability-course/module-4-designing-effective-ml-monitoring/choosing-ml-monitoring-deployment-architecture.md
@@ -96,4 +96,5 @@ We discussed the differences between different ML monitoring architectures. Here
 ## Enjoyed the content?
 
 Star Evidently on GitHub to contribute back! This helps us create free, open-source tools and content for the community.
+
 ⭐️ [Star](https://github.com/evidentlyai/evidently) on GitHub!