I particularly like this language here...
"Dive is a tool for interactively exploring up to tens of thousands of multidimensional data points, allowing users to seamlessly switch between a high-level overview and low-level details. ...Dive makes it easy to spot patterns and outliers in complex data sets."
That's key functionality to drill into our data with powerful navigable dashboards and visualization tools. We're creating this seamless transition with some Python and Flask and Bokeh tooling but nothing as impressive is Facets. But we've cued in all the domain specific things of interest, but it's nice to see a general purpose feature set on display with Facets.
This tool should be useful to classic statistical modeling as well as DL.
Given how easy it is to point-click-slide complex data transforms into existence, there's also a danger of mucking things up and creating overfits and so on. But that's a minor consideration given the rather obvious benefits.
And... I keep waiting for MS to provide an add-in to Excel that will allow ML analysis and similar visualization.
Even better, someone beat MS to it and do one for Libre Calc.
It's just that Microsoft is so focused on getting you into azure services that they're pushing these capabilities up there instead.
This is one of many things coming up that help make the adoption of ML easier - we'd love to hear more about what else we can do and/or what problems you're running into as you adopt machine learning (either TensorFlow based or something else). Thanks!
1. Download and install as explained in "Enabling Usage in Jupyter Notebooks" at https://github.com/pair-code/facets
2. Open a new notebook and copy&paste code from here: https://github.com/PAIR-code/facets/blob/master/facets_dive/...