Make mounting in Docker tutorial more obvious

Author: AnyaP

Docker-tutorial.md

@@ -39,30 +39,30 @@ Then you need to logout and login to the system again (disconnect and connect to
 
 ## Run container for the first time
 
-Now you can start new container from this image with:
+Now you can start new container from this image with the following command:
 ```sh
-docker run -it -p 8080:8080 --name coursera-aml-nlp akashin/coursera-aml-nlp
+docker run -it -p 8080:8080 --name coursera-aml-nlp akashin/coursera-aml-nlp -v path_on_your_machine:path_within_docker
 ```
 This will start the Ubuntu instance and give you an access to its command line. You can type `run_notebook` to launch IPython notebook server.
 
 Note that we are using `-p 8080:8080` argument to set up port forwarding to make IPython notebook accessible at address http://localhost:8080. If you're using AWS, make sure that you've [set up the port forwarding](https://github.com/hse-aml/natural-language-processing/blob/master/AWS-tutorial.md#2-set-up-dependencies-and-run-your-project) there as well.
 
-Note, that the Docker image only contains system dependencies for the project (e.g. TensorFlow, Starspace).
-All other project-related files need to be exposed to the container manually though [Docker volumes](https://docs.docker.com/storage/volumes/). To do this, you will need to mount a directory from your local machine within the container using `-v` option.
+**Important:** Docker image only contains system dependencies for the project (e.g. TensorFlow, Starspace).
+All other project-related files (e.g. input data) need to be exposed to the container manually though [Docker volumes](https://docs.docker.com/storage/volumes/). To do this, we are mounting a directory from your machine within the container using `-v` option.
 
-For Linux and OSX, the following command should work:
+On Linux and OSX, an example command looks like:
 ```sh
 docker run -it -p 8080:8080 --name coursera-aml-nlp -v $PWD:/root/coursera akashin/coursera-aml-nlp
 ```
 This will use shell alias `$PWD` to mount current directory to the folder `/root/coursera` in the container. Alternatively, you can mount arbitrary directory by replacing `$PWD` with a custom path.
 
-For Windows, there are some extra [steps](https://rominirani.com/docker-on-windows-mounting-host-directories-d96f3f056a2c) involved, and the launch command looks like
+**On Windows**, there are some extra [steps](https://rominirani.com/docker-on-windows-mounting-host-directories-d96f3f056a2c) involved, and the launch command looks like
 ```sh
 docker run -it -p 8080:8080 --name coursera-aml-nlp --user root -v /c/Users/$YOUR_USERNAME:/root/coursera akashin/coursera-aml-nlp
 ```
 Where `/c/Users/$YOUR_USERNAME` is the path to your user's home folder.
 
-If you're using Docker Toolbox on Windows, the command given above might not work because of the additional VirtualBox layer involved. Instead, we recommend you to follow the guidance in http://blog.shahinrostami.com/2017/11/docker-toolbox-windows-7-shared-volumes/.
+If you're using Docker Toolbox on Windows, the command given above might not work because of the additional VirtualBox layer involved. Instead, we recommend that you follow the guidance in http://blog.shahinrostami.com/2017/11/docker-toolbox-windows-7-shared-volumes/.
 
 ## Stop and resume container