Update based off PR feedback

docs/code/MlNetCookBook.md

@@ -1025,33 +1025,36 @@ using (var fs = File.OpenRead(modelPath))
 ```
 
 ## How can I read and write binary data?
-Other than using text files ML.NET will allow you to read and write binary data. 
+Other than using text files, ML.NET will allow you to read and write binary data. This has a few advantages such as not having to specify a schema, can improve reading times, and are generally smaller than text files.
 
 To write binary data you need some data to be able to save. Specifically you need an instance of an `IDavaView`. Below is a code snippet that uses the iris data as an example.
 
 ```csharp
 // Data model for the iris data
 public class IrisData
 {
-    public float Label;
-    public float SepalLength;
-    public float SepalWidth;
-    public float PetalLength;
-    public float PetalWidth;
+    public float Label { get; set; };
+    public float SepalLength { get; set; };
+    public float SepalWidth { get; set; };
+    public float PetalLength { get; set; };
+    public float PetalWidth { get; set; };
 }
 
 // An array of iris data points
-var dataArray = new[] {
-    new IrisData{Label=1, PetalLength=1, SepalLength=1, PetalWidth=1, SepalWidth=1},
-    new IrisData{Label=0, PetalLength=2, SepalLength=2, PetalWidth=2, SepalWidth=2}
+var dataArray = new[]
+{
+    new IrisData { Label=1, PetalLength=1, SepalLength=1, PetalWidth=1, SepalWidth=1 },
+    new IrisData { Label=0, PetalLength=2, SepalLength=2, PetalWidth=2, SepalWidth=2 }
 };
 
 // Create the ML.NET context.
 var context = new MLContext();
 
 // Create the data view.
-// This method will use the definition of IrisData to understand what columns there are in the 
-// data view.
+// This method will use the definition of IrisData to understand what columns there are 
+// in the data view. However, the objects in ML.NET are only "promises" of data since 
+// ML.NET operations are lazy. One way to get a look at the data is with Schema Comprehension.
+// Refer to this document for more information - https://github.com/dotnet/machinelearning/blob/master/docs/code/SchemaComprehension.md
 var data = context.CreateDataView(dataArray);
 
 // Use a FileStream to create a file. Use the stream and the data view in the "SaveAsBinary" method.
@@ -1061,7 +1064,7 @@ using(var stream = new FileStream("./iris.idv", FileMode.Create))
 }
 ```
 
-To read a binary file, simply use the `context.Data.ReadFromBinary` method and pass in the path of the binary file to read in.
+To read a binary file, simply use the `context.Data.ReadFromBinary` method and pass in the path of the binary file to read in. Notice that the schema of the data does not need to be defined here.
 
 ```csharp
 var data = context.Data.ReadFromBinary("./iris.idv");