@juliana_gomez We currently solve anomaly detection with classification and supervised learning. We are working on adding unsupervised anomaly detection in our roadmap over the next few months.
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I found on your page, your models are 1000 times smaller, could your explain how you manage to compress them? We have project of embedding models to controllers for Air checking and your technology sounds super interesting
@yulia_anikina We actually don't compress our models. We build them from the 'bottoms-up', Neuron by Neuron. As a result of this framework, the models that we build are inherently small. Your project for embedding models into microcontrollers for predicting air quality also sounds very interesting! We've created some models around this use case as well. Feel free to take a look at some of our use cases here: https://neuton.ai/use_cases.
@inga_semina Thank you Inga! There are a lot of great use cases in the retail and e-commerce space, specifically in marketing. Feel free to take a look on our website.
This product is very impressive. I didn't know that ML could be so simple!
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I love the AI REST feature, very useful in optimizing our implementation of programming languages by manifolds, especially with the 4 languages pre-configured!
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The dataset capacity seems ample for all levels of enterprises, Impressed by the UX as well. Amazing tool for team projects to consistently detect loopholes through automated systems. Flawless!
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Neuton AutoML
Neuton AutoML
Neuton AutoML
Neuton AutoML
Neuton AutoML