Fix wording

doc.zih.tu-dresden.de/docs/software/data_analytics_with_rstudio.md

@@ -14,5 +14,5 @@ similarly to a new kernel from [JupyterLab](../access/jupyterhub.md#jupyterlab)
     If an error "could not start RStudio in time" occurs, try reloading the web page with F5.
 
 ???note
-    Please note that it is currently not recommended to use an interactive x11 job with the
-    desktop version of RStudio, as described, for example, in introduction to HPC-DA slides.
+    Please note that it is currently not recommended to use an interactive `x11` job with the
+    desktop version of RStudio as described in the introductory slides.

doc.zih.tu-dresden.de/docs/software/distributed_training.md

@@ -60,7 +60,7 @@ package to synchronize gradients and buffers.
 
 The tutorial could be found [here](https://pytorch.org/tutorials/intermediate/ddp_tutorial.html).
 
-To use distributed data parallelization on Taurus please use following
+To use distributed data parallelization on ZIH system please use following
 parameters: `--ntasks-per-node` -parameter to the number of GPUs you use
 per node. Also, it could be useful to increase `memomy/cpu` parameters
 if you run larger models. Memory can be set up to:
@@ -93,7 +93,7 @@ in some cases better results than pure TensorFlow and PyTorch.
 
 Horovod is available as a module with **TensorFlow** or **PyTorch**for **all** module environments.
 Please check the [software module list](modules.md) for the current version of the software.
-Horovod can be loaded like other software on the Taurus:
+Horovod can be loaded like other software on ZIH system:
 
 ```Bash
 ml av Horovod            #Check available modules with Python

doc.zih.tu-dresden.de/docs/software/machine_learning.md

@@ -90,7 +90,7 @@ virtual environment.
 
 The [Jupyter Notebook](https://jupyter.org/) is an open-source web application that allows you to
 create documents containing live code, equations, visualizations, and narrative text. [JupyterHub](../access/jupyterhub.md)
-allows to work with machine learning frameworks (e.g. TensorFlow or PyTorch) on Taurus and to run
+allows to work with machine learning frameworks (e.g. TensorFlow or PyTorch) on ZIH system and to run
 your Jupyter notebooks on HPC nodes.
 
 After accessing JupyterHub, you can start a new session and configure it. For machine learning
@@ -109,7 +109,6 @@ TensorFlow and PyTorch on the board:
   Community-supported `ppc64le` docker container for TensorFlow.
 * [PowerAI container](https://hub.docker.com/r/ibmcom/powerai/):
   Official Docker container with TensorFlow, PyTorch and many other packages.
-  Heavy container. It requires a lot of space. Could be found on Taurus.
 
 Note: You could find other versions of software in the container on the "tag" tab on the docker web
 page of the container.

doc.zih.tu-dresden.de/docs/software/python_virtual_environments.md

@@ -43,15 +43,15 @@ Successfully installed torchvision-0.10.0
 ??? comment
     clear up the following. Maybe leave only conda stuff...
 
-There are two methods of how to work with virtual environments on
-Taurus:
+There are two methods of how to work with virtual environments on 
+ZIH system:
 
 1. **virtualenv** is a standard Python tool to create isolated Python environments.
    It is the preferred interface for
-   managing installations and virtual environments on Taurus and part of the Python modules.
+   managing installations and virtual environments on ZIH system and part of the Python modules.
 
 2. **conda** is an alternative method for managing installations and
-virtual environments on Taurus. conda is an open-source package
+virtual environments on ZIH system. conda is an open-source package
 management system and environment management system from Anaconda. The
 conda manager is included in all versions of Anaconda and Miniconda.