Merge branch 'main' into typofix

Author: SkafteNicki

README.md

@@ -22,7 +22,7 @@
     experience with the following topics:
 
     * General understanding of machine learning (datasets, probability, classifiers, overfitting, underfitting, etc.)
-    * Basic knowledge of deep learning (backpropagation, convolutional neural networks, auto-encoders etc.)
+    * Basic knowledge of deep learning (backpropagation, convolutional neural networks, autoencoders etc.)
     * Coding in [PyTorch](https://pytorch.org/). On the first day, we provide some exercises in PyTorch to
         get everyone's skills up-to-date as fast as possible.
 
@@ -106,7 +106,7 @@ design phase. Some new algorithms may show promising results, so you revisit the
 this. Finally, you may try to cut the cost of running your model in production, making you revisit the operations phase,
 and trying to optimize some steps.
 
-The focus in this course is particularly on the **Operations** part of MLOps as this is what many data scientists are
+The focus of this course is particularly on the **Operations** part of MLOps as this is what many data scientists are
 missing in their toolbox to implement all the knowledge they have about data processing and model development into a
 production setting.
 

pages/faq.md

@@ -66,7 +66,7 @@ Yes, PhD students from other universities can attend the course. You can check o
 you can contact <phdcourses@dtu.dk> for more information. Do note that the registration deadline is usually in beginning
 of December.
 
-## I am a foreign student and my home university doesn't accept pass/not pass, what can I do ❔
+## I am a foreign student and my home university doesn't accept pass/no-pass, what can I do ❔
 
 We can give a grade on the Danish
 [7-point grading](https://ufm.dk/en/education/the-danish-education-system/grading-system) scale for foreign students who

pyproject.toml

@@ -41,7 +41,7 @@ exercises = [
   "httpx>=0.28.1",
   "hydra-core>=1.3.2",
   "invoke>=2.2",
-  "ipykernel>=7.1.0",
+  "ipykernel>=7.1",
   "locust>=2.42.3",
   "matplotlib>=3.10.8",
   "mkdocs-material>=9.7",