Algorithmia – Open Marketplace for Algorithms
algorithmia.com
algorithmia.com
As a thank you here's a code to get 30,000 credits on me to test out some of the algorithms. Here's the code: HNDec2017
We have an IOT platform where we have thousands of sensors gathering all kinds of data for all kinds of industries, there are lots of interesting things we could do with the data. A lot would be around predicting the future, other situations is about classifying complex data streams as a certain kind of events which we can then use as alarms or information for decision making.
* Azure Cognitive Services (REST-based)
https://azure.microsoft.com/en-us/services/cognitive-service...
* Amazon ML (REST-based), including Polly, Rekognition etc.
https://aws.amazon.com/machine-learning/?nc2=h_l3_ai
AI-as-a-Service is a interesting space that is likely to grow over time.
Part of the problem with doing AI in-house is that it's really hard/expensive to get large corpuses of correctly labeled data to train your algorithms on, so what these folks are really selling is a set of trained model weights exposed as an API.
Disclaimer: I work at http://www.monkeylearn.com/
The algorithm is one very important building block but a good data set is what finally allows you to materialize a solution.
Instead of an algorithm store, have a dataset store. I wanna buy a dataset of 1 million tagged stackoverflow questions. I wanna buy a dataset of 1 million random Amazon reviews. I wanna buy a dataset of 1 million blog comments. i wanna buy a dataset updated monthly of billions of new urls found in the web. data, data, data.
with data I can come up with a crude algorithm that works in a day. with no data, not even the most sophisticated algorithm will work.
They're creating bespoke algorithms for academics in the fields of computational biology, computational astronomy, and computational quantum physics -- replacing current practice of passing down old, duct taped Fortran code from professors to grad students.
There was an interesting profile in the New Yorker a few days ago: https://www.newyorker.com/magazine/2017/12/18/jim-simons-the...
I've been searching for the right tool to try to add tagging to a large dataset of charitable data, and while I couldn't find anything off the shelf at Algorithmia, the GUI allows for easy forking and adjustment of existing algorithms. As a primarily front-end developer, never thought machine learning would be this accessible. Great work!
- Integrations with other platforms - how can I use this with something like Zapier (where all the non techies live)
- Community <-> Have a question? Join our Community slack/discord/board whatever instead of emailing you.
Numerai also wants to monopolize Data and ML models in a decentralized way, and I believe that is also on Ethereum.
There is also Enigma, Doc.ai, and a few others if you're interested in this space.