Update Readme

Author: shauheen

README.md

@@ -18,7 +18,7 @@ Along with these ML capabilities, this first release of ML.NET also brings the f
 
 ML.NET runs on Windows, Linux, and macOS using [.NET Core](https://github.com/dotnet/core), or Windows using .NET Framework. 64 bit is supported on all platforms. 32 bit is supported on Windows, except for TensorFlow, LightGBM, and ONNX related functionality.
 
-The current release is 0.10. Check out the [release notes](docs/release-notes/0.10/release-0.10.md) to see what's new.
+The current release is 0.11. Check out the [release notes](docs/release-notes/0.11/release-0.11.md) to see what's new.
 
 First, ensure you have installed [.NET Core 2.1](https://www.microsoft.com/net/learn/get-started) or later. ML.NET also works on the .NET Framework 4.6.1 or later, but 4.7.2 or later is recommended.
 
@@ -46,7 +46,7 @@ To build ML.NET from source please visit our [developers guide](docs/project-doc
 
 |    | Debug | Release |
 |:---|----------------:|------------------:|
-|**Linux**|[![x64-debug](https://dnceng.visualstudio.com/public/_apis/build/status/dotnet/machinelearning/MachineLearning-CI?branchName=master&jobname=Linux&configuration=Build_Debug)](https://dnceng.visualstudio.com/DotNet-Public/_build/latest?definitionId=104&branch=master)|[![x64-release](https://dnceng.visualstudio.com/public/_apis/build/status/dotnet/machinelearning/MachineLearning-CI?branchName=master&jobname=Linux&configuration=Build_Release)](https://dnceng.visualstudio.com/DotNet-Public/_build/latest?definitionId=104&branch=master)|
+|**CentOS**|[![x64-debug](https://dnceng.visualstudio.com/public/_apis/build/status/dotnet/machinelearning/MachineLearning-CI?branchName=master&jobname=CentOS&configuration=Build_Debug_Intrinsics)](https://dnceng.visualstudio.com/DotNet-Public/_build/latest?definitionId=104&branch=master)|[![x64-release](https://dnceng.visualstudio.com/public/_apis/build/status/dotnet/machinelearning/MachineLearning-CI?branchName=master&jobname=CentOS&configuration=Build_Release)](https://dnceng.visualstudio.com/DotNet-Public/_build/latest?definitionId=104&branch=master)|
 |**macOS**|[![x64-debug](https://dnceng.visualstudio.com/public/_apis/build/status/dotnet/machinelearning/MachineLearning-CI?branchName=master&jobname=macOS&configuration=Build_Debug)](https://dnceng.visualstudio.com/DotNet-Public/_build/latest?definitionId=104&branch=master)|[![x64-release](https://dnceng.visualstudio.com/public/_apis/build/status/dotnet/machinelearning/MachineLearning-CI?branchName=master&jobname=macOS&configuration=Build_Release)](https://dnceng.visualstudio.com/DotNet-Public/_build/latest?definitionId=104&branch=master)|
 |**Windows x64**|[![x64-debug](https://dnceng.visualstudio.com/public/_apis/build/status/dotnet/machinelearning/MachineLearning-CI?branchName=master&jobname=Windows_x64&configuration=Build_Debug)](https://dnceng.visualstudio.com/DotNet-Public/_build/latest?definitionId=104&branch=master)|[![x64-release](https://dnceng.visualstudio.com/public/_apis/build/status/dotnet/machinelearning/MachineLearning-CI?branchName=master&jobname=Windows_x64&configuration=Build_Release)](https://dnceng.visualstudio.com/DotNet-Public/_build/latest?definitionId=104&branch=master)|
 |**Windows x86**|[![Build Status](https://dnceng.visualstudio.com/public/_apis/build/status/dotnet/machinelearning/MachineLearning-CI?branchName=master&jobName=Windows_x86&configuration=Build_Debug)](https://dnceng.visualstudio.com/public/_build/latest?definitionId=104?branchName=master)|[![Build Status](https://dnceng.visualstudio.com/public/_apis/build/status/dotnet/machinelearning/MachineLearning-CI?branchName=master&jobName=Windows_x86&configuration=Build_Release)](https://dnceng.visualstudio.com/public/_build/latest?definitionId=104?branchName=master)|
@@ -69,16 +69,14 @@ Here's an example of code to train a model to predict sentiment from text sample
 
 ```C#
 var mlContext = new MLContext();
-var reader = mlContext.Data.CreateTextLoader(new TextLoader.Arguments
-        {
-        Column = new[] {
-            new TextLoader.Column("SentimentText", DataKind.Text, 1),
-            new TextLoader.Column("Label", DataKind.Bool, 0),
-        },
-        HasHeader = true,
-        Separator = ","
-});
-var data = reader.Read(dataPath);
+var loader = mlContext.Data.CreateTextLoader(new[]
+    {
+        new TextLoader.Column("SentimentText", DataKind.String, 1),
+        new TextLoader.Column("Label", DataKind.Boolean, 0),
+    },
+    hasHeader: true,
+    separatorChar: ',');
+var data = loader.Load(dataPath);
 var learningPipeline = mlContext.Transforms.Text.FeaturizeText("Features", "SentimentText")
         .Append(mlContext.BinaryClassification.Trainers.FastTree());
 var model = learningPipeline.Fit(data);
@@ -116,4 +114,3 @@ ML.NET is a [.NET Foundation](https://www.dotnetfoundation.org/projects) project
 There are many .NET related projects on GitHub.
 
 - [.NET home repo](https://github.com/Microsoft/dotnet) - links to 100s of .NET projects, from Microsoft and the community.
-