Datasight.io – Machine Learning for the Masses
datasight.io
Datasight.io – Machine Learning for the Masses
1–10 of 27 posts
Re: Datasight.io – Machine Learning for the Masses
#2Re: Datasight.io – Machine Learning for the Masses
#3I'd love to get others thoughts on this and if they would use a service like this what you would want in something like this.
I would imagine something like churn prediction as a service, face recognition as a service, sentiment analysis,... more concrete needs could be good.
The landscape is mainly APIs (wise.io,algorithms.io,..)
BigML does decision trees as a service which at least allows you to interpret the results with a good visualization.
Ersatz does neural nets as a service with a decent GUI and an API.
Re: Datasight.io – Machine Learning for the Masses
#4However, there's nothing at this page right now that would convince me about this service. There's no actual examples of what your technology can achieve, there's no programming API, just a promise. I understand that you're still in development, and I'm not asking for full documentation and a page of famous logos under "they use us", but at least a code snippet or something like that would make it easier to visualize.
Right now, I'm lost; my data is a lot more complicated and inter-connected then a mere spreadsheet, will you support it? How will it work? What pricing will be, and how will it be calculated? Yes, I understand that you haven't decided yet on all this things, but that's the problem: there's nothing to show except for the idea yet.
Anyway, I really hope that this service will work great, and I wish you all the luck with it.
Re: Datasight.io – Machine Learning for the Masses
#5More importantly, any valid ML analysis requires that the source data is good, which is impossible to guarantee with this service.
Re: Datasight.io – Machine Learning for the Masses
#6Re: Datasight.io – Machine Learning for the Masses
#7[deleted]
Re: Datasight.io – Machine Learning for the Masses
#8Re: Datasight.io – Machine Learning for the Masses
#9The flaw with "machine learning for the masses" is that the data still requires preprocessing in order to derive meaningful statistically significant conclusions. That skill is as difficult and tedious as implementing a machine learning algorithm itself. More importantly, any valid ML analysis requires that the source data is good , which is impossible to guarantee with this service.