@@ -56,41 +56,39 @@ The Data Science Virtual Machine comes with the most useful data-science tools p
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|   ;  ;  ;  ; [ Sparkmagic] ( https://github.com/jupyter-incubator/sparkmagic ) | <span class =' red-x ' >❌ ; </span > | <span class =' green-check ' >✅ ; </span ></br > (Ubuntu only) | | | |
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|   ;  ;  ;  ; SparkR | <span class =' red-x ' >❌ ; </span > | <span class =' green-check ' >✅ ; </span > | | | |
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- Ubuntu 18.04 DSVM has the following Jupyter kernels:-</br >
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-   ;  ;  ;  ; a. Python 3.7 - default</br >
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-   ;  ;  ;  ; b. Python 3.7 - PyTorch</br >
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-   ;  ;  ;  ; c. Python 3.7 - TensorFlow</br >
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-   ;  ;  ;  ; d. Python 3.6 - AzureML - TensorFlow</br >
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-   ;  ;  ;  ; e. Python 3.6 - AzureML - PyTorch</br >
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-   ;  ;  ;  ; f. Python 3.6 - AzureML – AutoML</br >
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-   ;  ;  ;  ; g. R</br >
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-   ;  ;  ;  ; h. Python 3.7 - Spark (local)</br >
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-   ;  ;  ;  ; i. Julia 1.2.0</br >
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-   ;  ;  ;  ; j. R Spark – HDInsight</br >
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-   ;  ;  ;  ; k. Scala Spark – HDInsight</br >
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-   ;  ;  ;  ; l. Python 3 Spark - HDInsight</br >
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-
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- Windows Server 2019 DSVM has the following Jupyter kernels:-</br >
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-   ;  ;  ;  ; a. Python 3.7 </br >
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-   ;  ;  ;  ; b. Python 3.6 - AzureML</br >
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-   ;  ;  ;  ; c. Python 3 Spark - local</br >
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-   ;  ;  ;  ; d. Julia 1.0.5</br >
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-   ;  ;  ;  ; e. R</br >
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-
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- Ubuntu 18.04 DSVM has the following conda environments:-</br >
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-   ;  ;  ;  ; a. py37_base</br >
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-   ;  ;  ;  ; b. py37_tensorflow</br >
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-   ;  ;  ;  ; c. py37_pytorch</br >
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-   ;  ;  ;  ; d. azureml_py36_tensorflow</br >
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-   ;  ;  ;  ; e. azureml_py36_pytorch</br >
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-   ;  ;  ;  ; f. azureml_py36_automl</br >
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-
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- Windows Server 2019 DSVM has the following conda environments:-</br >
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-   ;  ;  ;  ; a. base</br >
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-   ;  ;  ;  ; b. py37</br >
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-   ;  ;  ;  ; c. azureml_py36</br >
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+ ** Ubuntu 18.04 DSVM** has the following Jupyter kernels:-</br >
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+ * Python 3.7 - default</br >
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+ * Python 3.7 - PyTorch</br >
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+ * Python 3.7 - TensorFlow</br >
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+ * Python 3.6 - AzureML - TensorFlow</br >
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+ * Python 3.6 - AzureML - PyTorch</br >
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+ * Python 3.6 - AzureML – AutoML</br >
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+ * R</br >
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+ * Python 3.7 - Spark (local)</br >
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+ * Julia 1.2.0</br >
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+ * R Spark – HDInsight</br >
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+ * Scala Spark – HDInsight</br >
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+ * Python 3 Spark - HDInsight</br >
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+
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+ ** Windows Server 2019 DSVM** has the following Jupyter kernels:-</br >
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+ * Python 3.7 </br >
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+ * Python 3.6 - AzureML</br >
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+ * Python 3 Spark - local</br >
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+ * Julia 1.0.5</br >
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+ * R</br >
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+
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+ ** Ubuntu 18.04 DSVM** has the following conda environments:-</br >
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+ * py37_base</br >
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+ * py37_tensorflow</br >
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+ * py37_pytorch</br >
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+ * azureml_py36_tensorflow</br >
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+ * azureml_py36_pytorch</br >
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+ * azureml_py36_automl</br >
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+
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+ ** Windows Server 2019 DSVM** has the following conda environments:-</br >
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+ * base</br >
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+ * py37</br >
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+ * azureml_py36</br >
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## Use your preferred editor or IDE
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