Tessferrandez/refactor ml to apply to all ai ml projects

README.md

@@ -63,7 +63,7 @@ A [breakdown of sections](docs/the-first-week-of-an-ise-project.md) according to
 
 ## Fundamentals for Specific Technology Areas
 
-* [Machine Learning Fundamentals](docs/machine-learning/README.md)
+* [Machine Learning/AI Fundamentals](docs/machine-learning-and-ai-projects/README.md)
 * [User-Interface Engineering](docs/UI-UX/README.md)
 
 ## Contributing

docs/machine-learning/README.md → docs/machine-learning-and-ai-projects/README.md

@@ -1,6 +1,6 @@
 # Machine Learning Fundamentals at ISE
 
-This guideline documents the Machine Learning (ML) practices in ISE. ISE works with customers on developing ML models and putting them in production, with an emphasis on engineering and research best practices throughout the project's life cycle.
+This guideline documents the Machine Learning (ML) practices in ISE. ISE works with customers on ML/AI projects and putting them in production, with an emphasis on engineering and research best practices throughout the project's life cycle.
 
 ## Goals
 

docs/machine-learning/agile-development-considerations-for-ml-projects.md → docs/machine-learning-and-ai-projects/agile-development-considerations-for-ml-projects.md

@@ -1,4 +1,4 @@
-# Agile Development Considerations for ML Projects
+# Agile Development Considerations for Machine Learning/AI Projects
 
 ## Overview