credits

Introduction/README.md

@@ -5,13 +5,13 @@ In this section of the curriculum, you will be introduced to the base concepts u
 ### Lessons
 
 1. [Introduction to Machine Learning](1-intro-to-ML/README.md)
-1. [The History of Machine Learning](2-history-of-ML/README.md)
+1. [The History of Machine Learning and AI](2-history-of-ML/README.md)
 1. [Fairness and Machine Learning](3-fairness/README.md)
 
 ### Credits
 
-"Introduction to Machine Learning" was written with ♥️ by [Name](Twitter)
+"Introduction to Machine Learning" was written with ♥️ by a team of folks including ...
 
-"The History of Machine Learning"  was written with ♥️ by [Amy Boyd](Twitter) and Jen Looper 
+"The History of Machine Learning" was written with ♥️ by [Jen Looper](https://twitter.com/jenlooper) and [Amy Boyd](https://twitter.com/AmyKateNicho)
 
-"Fairness and Machine Learning" was written with ♥️ by [Tomomi Imura](Twitter) 
+"Fairness and Machine Learning" was written with ♥️ by [Tomomi Imura](https://twitter.com/girliemac) 

Real-World/README.md

@@ -1,11 +1,10 @@
-# Getting Started with 
+# Real World Applications of Classic Machine Learning
 
-In this section of the curriculum, you will be introduced to ...
-
-## Lessons
+In this section of the curriculum, you will be introduced to some real-world applications of classical ML. We have scoured the internet to find whitepapers and articles about applications that have used these strategies, avoiding neural networks, deep learning and AI as much as possible. Learn about how ML is used in business systems, ecological applications, finance, arts and culture, and more.
+## Lesson
 
 1. [Real-World Applications for ML](1-Applications/README.md)
 
 ## Credits
 
-"Real-World Applications" was written with ♥️ by [Name](Twitter)
+"Real-World Applications" was written by a team of folks, including [Jen Looper](https://twitter.com/jenlooper), [Ornella Altunyan](https://twitter.com/ornelladotcom) and ...