datasets

It would be awesome if someone would use datasets like these to create a valuation of those musea.

Underneath, we're building a super-high-speed distributed columnar database that enables interactive (subsecond) exploration of terabyte datasets; fronted by a lean, mean web UI.

You need to gear your questions according to the datasets you can get your hands on.

The black magic comes from the vast resources Google drew to obtain perfect training datasets.

Never happens in dev due to the tiny datasets fitting in a single page.

(Defined as the maximized intelligent action over imagined future timelines where things mostly randomly explode.) Btw, in NFL theorem, the averaging is over all possible datasets (and datasets usually describe something about past, not future), not over all possible explanations.

We've found it easier to load large datasets using CloudHarmony but have run both.

Are there any interesting datasets that you have converted to regexes with this?

I suspect cloud storage via ZFS will see the most benefit, as they'll be sending full datasets over lower bandwidth links.

Sharing datasets and scripts is just a filesystem namespace operation.

For small datasets[1], latency may dominate bitrate.

- Real time collection, storage and visualization of large datasets.

The "technique" was concatenating two dissimilar datasets in a way that suggested a trend that simply wasn't there.

If you click on "Time Comparison" you can see images from older datasets.