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I also believe that people with bad experiences tend to review hotels more often than those with good experiences. That would bias the entire data set in one way or the other (obviously this has nothing to do with the quality of the tool being presented).

this was a mistake in the description of the algorithm. The algorithm is intended to not cut off faces/main objects while preserving the ratios of the image. We have contacted the author to update the description. Thanks.

This is great. Did you tune the recognition models at all or is it straight tesseract plus the wrapper.

I appreciate you taking the time to give us feedback. At the core of Algorithmia we look to operationalize for scale. You can develop your own algorithms and use us as your infrastructure never having to worry about spinning up a machine again. You can mix and match work from others regardless of language. You can open source it all and make it available (caveat we still charge for running on our infrastructure) or you can make it closed source and share with no one. The algorithm developer is always in control, we just look to facilitate actually using these algorithms, libraries, ml models and functions vs reading about it in an academic paper or trying to resolve every dependency under the sun. The truth is that getting things up and running can take hours to days and Algorithmia turns it into seconds. This is how we beleive we are liberating knowledge... By making applicable and usable to developers in their day to day.

thanks for reporting - looking into this now.

[founder]

The idea behind algorithmia is to expose algorithms, functions and ML models through an API so that they can be adapted from any language you as the developer feel comfortable in. Today we added a number of different languages our platform supports - expanding the number of developers that can contribute to our platform. The larger the library the more you can do with it.

Regarding the licenses. We support 4 types of licenses currently 3 FOSS and 1 Algorithmia Platform. The Algorithmia Platform takes no rights other than giving us permission to run your code on our platform and provide it as a service. At no point do we take ANY ownership of your IP. The only thing that can be seen as a restriction is that once you put an algorithm in our platform that version will always be there - this is just to guarantee to anybody building on top of our API that the code will always be there for them.

Regarding upvotes - HN has serious voting ring detection behind it and this climbed the ranks naturally since posted this morning. We are avid participants in this community with no intention of manipulating what is of interest.

This is great. Where are you hosting your caffe model? Just AWS with API Gateway?

Fantastic good job 21.co team. Just got a txt directly from 21.co computer

well thats easy enough! Thanks for sharing.

Under/over on how many man hours will be spent by engineering teams world wide discussing their github single point of failure issue?

Most ML models will only work with what they were trained on. In this case only actors from parks and rec

That should not be the case, sorry you had a not great experience. Please share the url you used at Diego at Algorithmia for com so we can debug and get back to you.

We run on multiple public clouds. We do have a lot of scraper algorithms (mostly because the community created / wanted them) but also text analysis tools, computer vision , audio and video processing etc. By operationalizing these algorithms/functions/recipes we allow piecing together sacalable services for larger applications . Google has been doing this internally for years .

We do have a full data api for storing those models if that's what you want to do. We also help you train them , collect the data ,etc.

You can check out our blog at blog.Algorithmia.com for some examples.

We have built this and anybody can use it https://Algorithmia.com/recommends. 2 lines of js to implement.Currently serving the geekwire.com recs. You can also modify it further (see blog.Algorithmia.com).

The article is awesome though good on NYT.

agreed , this type analysis only open a direction to look further in and do not provide any absolutes (as most data analysis).

Part II is a recommendation engine we built for the PH.

Eventbrite API and Meetup API

Thanks , should be fixed right now had some x-frame problems clearly.

The meetup.com api does this weird thing when it doesn't have enough results.

All cities supported under the More tab. We get the data from eventbrite and meetup.com

Thanks for all the feedback !

author here, thanks for checking this post out and happy to answer any questions.

intelligent services is where the future is. Being able to build these types of capabilities into any app anywhere will just empower developers to use the state of the art without having to implement from scratch. Pretty cool to see Microsoft getting onto this path that other companies have started down.

I don't think we can really say there is little going on in search when Google and Bing both have 100s if not 1000s of engineers working on it. That said I do agree that I would expect a lot more ML and NLP tools to start showing up as part of search for helping to classify content (I am sure they do this internally just hasn't been user exposed). We built this demo because we thought there was no easy way to classify content sites (a problem we had been discussing with KDNuggets) and got inspired by some of the algos our community had added.

"Finally, we predict the time to reply, length of reply, and whether the reply ends a conversation."

Good reddit discussion as well http://www.reddit.com/r/startups/comments/30clrk/regular_ame...

Thats just the cost of compute time, you the developer get to choose the cost in credits per call.

https://algorithmia.com/pricing

Access is open on Algorithmia and anybody can view the source code of any of the algorithms. The charge comes at the time of hosting it on our infrastructure so what you are paying for is compute (a part of which we donate back to the open source project).

founder here. Algorithm developers get to choose if they want their code open source or closed source. Close source makes black box algorithms.

For open source algorithms nothing stops users form grabbing the code and taking it off the platform - but again thats the point of open source code. The simplicity of not having to start your own servers, download dependencies or maintain the code yourself makes it worth not leaving the platform in most cases.