3 things I really miss in Azure Machine Learning

Azure Machine Learning is a handy tool, absolutely. If I need to run some model quickly to justify gut feeling or to have a simple overview over data, it fits really well. Or, for example, set up a web service from a Machine Learning experiment is really easy, so kudos for that! But there are some things which annoy me time after time, which I really want to be implemented or done differently. Here is my top 3 "wish-list": 1. Navigation inside the experiment mean, honestly...