Update README.md

Author: b7leung

README.md

@@ -1,9 +1,8 @@
 # Machine Learning Engineer - Flashcards
 
+These are flashcards I made to prepare for machine learning engineer interviews and review everything from my time doing research, taking classes, and independent study. Using them, I was able to get offers from several FAANG-like companies. Hopefully other people can benefit from them as well!
 
-
-# Full Versions
-The PDFs in this repo are mostly for convience. Check out the links below for the most up to date and animated versions, with additional links in the speaker notes:
+The PDFs in this repo are mostly for convenience. Check out the links below for the most up to date and animated versions, with additional links in the speaker notes:
 
 * [1 Computer Science](https://docs.google.com/presentation/d/1uGIda3-VgQqzA3KQUDieiuPPF2-dJsH9-c1sRv0gfRs/edit?usp=sharing)
 * [2 Machine Learning General](https://docs.google.com/presentation/d/1qSOwBrjEmZTXQqNqB9XRAV7QsB6SJrLZ4pZBCkpvzyA/edit?usp=sharing)
@@ -12,8 +11,20 @@ The PDFs in this repo are mostly for convience. Check out the links below for th
 
 # Intended Scope and Audience
 
-# About Me
+The flashcards covers topics relating to computer science, classical machine learning, and modern deep learning with an emphasis on computer vision. They generally assume a good foundation in these topics, and a lot of technicaal terminology is used. I think the approach might be different depending on your current experience:
+
+* If you already have a good foundation  in ML, and want to review (e.g. to prep for interviews), you can probably use them as is
+
+* If you are newer to ML, and want to have an overview of what is out there, with the option to learn 
+
+Note that some flashcards are more important than others. From my experience interviewing at 10+ companies, these are the most important slides:
+
+* 1
 
 # Contributing
 
 # Additional Links & Resources
+
+# About Me
+
+