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 0.8. Check out the [release notes](docs/release-notes/0.8/release-0.8.md) and [blog post](https://blogs.msdn.microsoft.com/dotnet/2018/12/02/announcing-ml-net-0-8-machine-learning-for-net/) to see what's new.
+The current release is 0.9. Check out the [release notes](docs/release-notes/0.9/release-0.9.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.
 
@@ -85,8 +85,8 @@ var model = learningPipeline.Fit(data);
 Now from the model we can make inferences (predictions):
 
 ```C#
-var predictionFunc = model.MakePredictionFunction<SentimentData, SentimentPrediction>(mlContext);
-var prediction = predictionFunc.Predict(new SentimentData
+var predictionEngine = model.CreatePredictionEngine<SentimentData, SentimentPrediction>(mlContext);
+var prediction = predictionEngine.Predict(new SentimentData
 {
     SentimentText = "Today is a great day!"
 });