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There was a company called Petridish that did exactly this. They pivoted after six months and became Blue Apron: https://vator.tv/news/2017-09-05-when-blue-apron-was-young-t...

Users expose their model to our Trial API ( https://docs.determined.ai/latest/topic-guides/model-definit... ), the base class then implements a training loop (which can be enhanced…

Check out Determined https://github.com/determined-ai/determined to help manage this kind of work at scale: Determined leverages Horovod under the hood, automatically manages cloud…

Tom7’s sigbovik submissions are true works of art. https://www.cs.cmu.edu/~tom7/mario/mario.pdf

The exposition is tight.

Relational database queries are supposed to be _declarative_. As a user, you're not supposed to think about the mechanics of execution because the database system is supposed to be…

Assume 100 pages on each onion address (it’s probably power-law but let’s just assume that’s the mean). Latency with Tor is super high. Assume average of 5s to load a single page. …

Yes, this is correct: http://composition.al/lindsey_kuper_cv.pdf

It’s also hard to separate the design of the neural architecture from the definition of the feature extractor.

I had one of these phones too - it was a bad batch of serial numbers according to Apple. If this happens to you: https://www.apple.com/support/iphone6s-unexpectedshutdown/

Crunchbase has a good deal of data here - it is incomplete particularly for smaller companies, but is pretty good for larger investment rounds.

A word of caution - these talks are highly technical and theoretical and I don't recommend them for anyone looking to understand practical applications of ML. If, however, you're i…

We've used this dataset to build a product review classification pipeline as an example application that can be developed using our project, KeystoneML (which runs on spark) - code…

You might find the OSDI slides useful: https://people.eecs.berkeley.edu/~apanda/assets/slides/osdi-...

I would also be interested in seeing this.

Microsoft is 23 years older than Google and it usually takes time for a corporation to create an R&D lab. Given Google's rich academic roots this happened faster there than usual. …

This is pretty awesome. One key bit of information that the compiler has is that the coefficients are a constant array of length 12, which makes the loop unrolling possible and als…

GPUs in the cloud aren't targeted at gamers. They're targeted at people doing things like running render farms and training deep learning models.

Keep in mind that with EC2 you're billed hourly so the fastest a 70 cpu-hour job could finish on m3.medium for $0.70 is 1 hour, and that's ignoring setup time, etc. Meanwhile, on L…

One of the nice things about lambda is the billing is super granular - you get billed at 100ms intervals. Assuming 70 hours at $0.000000834/100ms [1] The whole job costs $2.10. [1]…