README: Make mission statement have bullet points

Signed-off-by: John Andersen <[email protected]>

Author: pdxjohnny

README.md

@@ -10,17 +10,21 @@
 
 DFFML aims to be the easiest and most convenient way to use Machine Learning.
 
-We take a "just bring your data" approach to ML. DFFML is an AutoML (Automated
-Machine Learning) library, command line application, HTTP service, and soon, web
-UI.
+- It's an AutoML Python library, command line application, and HTTP service.
 
-You give DFFML your data and tell it what kind of model you want to train and it
-creates a model for you.
+- You give it your data and tell it what kind of model you want to train. It
+  creates a model for you.
 
-If you want finer grained control over the model, you can easily do so by
-implementing your own model plugin.
+- If you want finer grained control over the model, you can easily do so by
+  implementing your own model plugin.
 
-We also make it easy to use and deploy your models.
+- We make it easy to use and deploy your models.
+
+- We provide a directed graph concurrent execution environment with managed
+  locking which we call DataFlows.
+
+- DataFlows make it easy to generate datasets or modify existing datasets for
+  rapid iteration on feature engineering.
 
 ## Documentation