21–30 of 35 posts
Algorithms are valuable, but in the scope of machine learning what is becoming increasingly valuable are data sets. The algorithm is one very important building block but a good data set is what finally allows you to materialize a solution.
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!
I never used this platform until today, wow. This reminds me of old Mashape and early Blockspring if they had a baby (loved those). I'm very excited to dig into this more! WOW, I can tell more developers would love this if there was more outreach and love around this product!
Welcome to the community :) What would you like to see?
- 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.
Took a deep dive yesterday comparing a few tagging/classification algorithms to the Google Cloud Natural Language and AWS Comprehend APIs, and I have to say I'm impressed. 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 primari…
This is really great! Being able to deploy without installing anything + having the pricing set per API call is exactly what I've been needing.
Earlier quoted context omitted.
Welcome to the community :) What would you like to see?
- Video tutorials - at least for the onboarding to show around the platform and get users adopt faster (other than the hello world). Cause when we did the api marketplace rebuild from the UX perspective we messed up the onboarding (for a while) because we didn't give users a clear explanation of what they had to do to get started. There was too much text in the docs and too many buttons - once we fixed that users sta…
When you're working on a startup the hustle is real. Walking into work this morning and seeing that somebody added us here and that it hit the front page is a great way to start the day. Thanks y'all :) 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
very interesting. Is there any kind of forum where you can state a problem and someone can suggest what AI/ML to try and apply to the problem? 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 s…
When you're working on a startup the hustle is real. Walking into work this morning and seeing that somebody added us here and that it hit the front page is a great way to start the day. Thanks y'all :) 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
Algorithms are valuable, but in the scope of machine learning what is becoming increasingly valuable are data sets. 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.