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docs/machine-learning/how-to-guides/index.md

@@ -1,15 +1,37 @@
 ---
 title: ML.NET How-to guides
 description: Learn how to do specific tasks to assist with custom AI solutions creation and Machine Learning integration into your .NET applications.
-ms.date: 10/05/2018
+ms.date: 11/16/2018
 ---
 # How to (ML.NET)
 
-In the How to section of the ML.NET Guide you can find quick answers
+In the How to section of the ML.NET Guide, you can find quick answers
 to common questions. In some cases, articles may be listed in multiple sections to make them easy to find.
 
-## Infer.NET
+* [Apply feature engineering for model training on categorical data.](train-model-categorical-ml-net.md)
 
-Learn about probabilistic programming using Infer.NET.
+* [Apply feature engineering for model training on textual data with ML.NET.](train-model-textual-ml-net.md)
 
-- [Create a game match up list app with Infer.NET and probabilistic programming](matchup-app-infer-net.md)
+* [Calculate metrics to evaluate model quality.](verify-model-quality-ml-net.md)
+
+* [Create a game match up list app with Infer.NET and probabilistic programming.](matchup-app-infer-net.md)
+
+* [Inspect intermediate data values during ML.NET pipeline processing.](inspect-intermediate-data-ml-net.md)
+
+* [Load data with many columns from a CSV file for machine learning processing.](load-data-from-mult-column-csv-ml-net.md)
+
+* [Load data from multiple files for machine learning processing.](load-data-from-multiple-files-ml-net.md)
+
+* [Load data from a text file for machine learning processing.](load-data-from-text-file-ml-net.md)
+
+* [Operationalize a trained machine learning model in apps.](consuming-model-ml-net.md)
+
+* [Train a machine learning model with data that's not in a text file.](load-non-file-training-data-ml-net.md)
+
+* [Preprocess training data with normalizers to use in data processing.](normalizers-preprocess-data-ml-net.md)
+
+* [Train a machine learning model using cross-validation.](train-cross-validation-ml-net.md)
+
+* [Train a regression model to predict a value using ML.NET.](train-regression-model-ml-net.md)
+
+* [Use the PredictionFunction to make one prediction at a time.](single-predict-model-ml-net.md)

docs/toc.md

@@ -1193,6 +1193,8 @@
 ### [Train model using cross-validation](machine-learning/how-to-guides/train-cross-validation-ml-net.md)
 ### [Train regression model](machine-learning/how-to-guides/train-regression-model-ml-net.md)
 ### [Use metrics to evaluate model quality](machine-learning/how-to-guides/verify-model-quality-ml-net.md)
+## Reference
+### [API Reference](https://docs.microsoft.com/dotnet/api/?view=ml-dotnet)
 ## [Resources](machine-learning/resources/index.md)
 ### [Machine learning glossary](machine-learning/resources/glossary.md)
 ### [Machine learning tasks](machine-learning/resources/tasks.md)