Broken link fixed

atikmapari · atikmapari · commit 1a41007f7387 · 2021-10-01T22:11:40.000+05:30
diff --git a/docs/machine-learning/package-management/install-additional-python-packages-on-sql-server.md b/docs/machine-learning/package-management/install-additional-python-packages-on-sql-server.md
@@ -103,7 +103,7 @@ pip install sqlmlutils
 You can also install **sqlmlutils** from a zip file:
 
 1. Make sure you have **pip** installed. See [pip installation](https://pip.pypa.io/en/stable/installing/) for more information.
-1. Download the latest **sqlmlutils** zip file from https://github.com/Microsoft/sqlmlutils/tree/master/Python/dist to the client computer. Don't unzip the file.
+1. Download the latest **sqlmlutils** zip file from https://github.com/microsoft/sqlmlutils/tree/master/R/dist to the client computer. Don't unzip the file.
 1. Open a **Command Prompt** and run the following commands to install the **sqlmlutils** package. Substitute the full path to the **sqlmlutils** zip file you downloaded - this example assumes the downloaded file is `c:\temp\sqlmlutils-1.0.0.zip`.
    ```console
    pip install --upgrade --upgrade-strategy only-if-needed c:\temp\sqlmlutils-1.0.0.zip
diff --git a/docs/machine-learning/python/ref-py-microsoftml.md b/docs/machine-learning/python/ref-py-microsoftml.md
@@ -17,7 +17,7 @@ monikerRange: ">=sql-server-2017||>=sql-server-linux-ver15"
 | Package details       | Information |
 |-----------------------|-------------|
 | Current version:      |  9.4        |
-| Built on:             | [Anaconda 4.2](https://www.continuum.io/why-anaconda) distribution of [Python 3.7.1](https://www.python.org/doc) |
+| Built on:             | [Anaconda 4.2](https://anaconda.org/conda-forge/opencv/files?version=4.2.0) distribution of [Python 3.7.1](https://www.python.org/doc) |
 | Package distribution: | [SQL Server Machine Learning Services](../sql-server-machine-learning-services.md) version 2017 or 2019. |
 
 ## How to use microsoftml
diff --git a/docs/machine-learning/python/reference/microsoftml/rx-ensemble.md b/docs/machine-learning/python/reference/microsoftml/rx-ensemble.md
@@ -267,7 +267,7 @@ values from `1` to `4` provide increasing amounts of information.
 Sets the context in which computations are executed,
 specified with a valid `revoscalepy.RxComputeContext`.
 Currently local and [revoscalepy.RxSpark](/machine-learning-server/python-reference/revoscalepy/RxSpark) compute contexts
-are supported. When [revoscalepy.RxSpark](/machine-learning-server/python-reference/revoscalepy/revoscalepy/RxSpark) is specified,
+are supported. When [revoscalepy.RxSpark](/machine-learning-server/python-reference/revoscalepy/RxSpark) is specified,
 the training of the models is done in a distributed way, and the ensembling
 is done locally. Note that the compute context cannot be non-waiting.
 
diff --git a/docs/machine-learning/python/reference/microsoftml/rx-neural-network.md b/docs/machine-learning/python/reference/microsoftml/rx-neural-network.md
@@ -154,7 +154,7 @@ The default value is `sgd`.
 
 The Net# definition of the structure of the neural
 network. For more information about the Net# language, see
-[Reference Guide](https://azure.microsoft.com/documentation/articles/machine-learning-azure-ml-netsharp-reference-guide/)
+[Reference Guide](/azure/machine-learning/classic/azure-ml-netsharp-reference-guide)
 
 
 ### init_wts_diameter
