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Update "what can you do with clearml" (#377)

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@ -13,10 +13,17 @@ while ClearML ensures your work is reproducible and scalable.
## What Can You Do with ClearML? ## What Can You Do with ClearML?
- Track and upload metrics and models with only 2 lines of code - [Track and upload](../fundamentals/task.md) metrics and models with only 2 lines of code
- Create a bot that sends you a Slack message whenever your model improves in accuracy - [Reproduce](../webapp/webapp_exp_reproducing.md) experiments with 3 mouse clicks
- Automatically scale AWS instances according to your resource needs - [Create bots](../guides/services/slack_alerts.md) that send you Slack messages based on experiment behavior (for example,
- Reproduce experiments with 3 mouse clicks alert you whenever your model improves in accuracy)
- Manage your [data](../clearml_data/clearml_data.md) - store, track, and version control
- Remotely execute experiments on any compute resource you have available with [ClearML Agent](../clearml_agent.md)
- Automatically scale cloud instances according to your resource needs with ClearML's [GPU Compute](../webapp/applications/apps_gpu_compute.md),
[AWS Autoscaler](../webapp/applications/apps_aws_autoscaler.md), and [GCP Autoscaler](../webapp/applications/apps_gcp_autoscaler.md)
GUI applications
- Run [hyperparameter optimization](../fundamentals/hpo.md)
- Build [pipelines](../pipelines/pipelines.md) from code
- Much more! - Much more!
## Getting started on YouTube (Playlist) ## Getting started on YouTube (Playlist)