Added references to the youtube channel getting started videos (#190)

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@ -10,3 +10,9 @@ title: ClearML Modules
Solutions combined with the clearml-server control plane.
![clearml architecture](../img/clearml_architecture.png)
## Youtube Playlist
The first video in our Youtube Getting Started playlist covers these modules in more detail, feel free to check out the video below.
[![Watch the video](https://img.youtube.com/vi/s3k9ntmQmD4/hqdefault.jpg)](https://www.youtube.com/watch?v=s3k9ntmQmD4&list=PLMdIlCuMqSTnoC45ME5_JnsJX0zWqDdlO&index=1)

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@ -61,3 +61,8 @@ Now, [command-line arguments](../../fundamentals/hyperparameters.md#command-line
Sit back, relax, and watch your models converge :) or continue to see what else can be done with ClearML [here](ds_second_steps.md).
## Youtube Playlist
Or watch the Youtube Getting Started Playlist on our Youtube Channel!
[![Watch the video](https://img.youtube.com/vi/bjWwZAzDxTY/hqdefault.jpg)](https://www.youtube.com/watch?v=bjWwZAzDxTY&list=PLMdIlCuMqSTnoC45ME5_JnsJX0zWqDdlO&index=2)

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@ -180,4 +180,8 @@ or check these pages out:
- Improve your experiments with [HyperParameter Optimization](../../fundamentals/hpo.md)
- Check out ClearML's integrations to [external libraries](../../integrations/libraries.md).
## Youtube Playlist
All these tips and tricks are also covered by our Youtube Getting Started series, go check it out :)
[![Watch the video](https://img.youtube.com/vi/kyOfwVg05EM/hqdefault.jpg)](https://www.youtube.com/watch?v=kyOfwVg05EM&list=PLMdIlCuMqSTnoC45ME5_JnsJX0zWqDdlO&index=3)

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@ -19,5 +19,11 @@ while ClearML ensures your work is reproducible and scalable.
- Reproduce experiments with 3 mouse clicks
- Much more!
## Getting started on YouTube (Playlist)
We also have a video series that can get you started, if you're more of a video type of person :)
[![Watch the video](https://img.youtube.com/vi/s3k9ntmQmD4/hqdefault.jpg)](https://www.youtube.com/watch?v=s3k9ntmQmD4&list=PLMdIlCuMqSTnoC45ME5_JnsJX0zWqDdlO&index=1)
#### Who We Are
ClearML is supported by you :heart: and by the team behind [allegro.ai](https://www.allegro.ai) , where we build even more MLOps for enterprise companies.