AI Is Eating Software: How Second Generation AutoML Will Replace Software Development from the Inside Out

full automation of Automated Machine Learning represents a “second generation of AutoML” and enables a new class of machine learning projects. Instead of working on multi-week machine learning projects with teams of data scientists, small micro-decisions in every important enterprise application can be automated and determined with AutoML.

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Auger.AI Cloud Launches!

We are very excited to announce the launch of Auger.AI Cloud!  Auger.AI Cloud is a fully hosted service giving you the ability to run automated machine learning experiments to find the best predictive model in seconds and  deploy models locally or as a free (rate-limited) prediction web service on our cloud. No more need to bring your own cloud service account. Sign up here.

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How Does Auger.AI Provide Such Fast And Accurate AutoML?

In our last post, we pointed out that Auger outperforms the new Microsoft AutoML and other AutoML tools such as H2O and TPOT. Specifically, we took the OpenML datasets that Microsoft used to compare their AutoML with other tools, time limited to one hour and compared Auger’s predictive models (algorithms plus hyperparameters). The big question we have received on this is “how is this possible to have such dramatically higher accuracy?”.

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WebRealizer - Bruno Steiger
Ensembles in Auger

Among the many advanced automated machine learning techniques which Auger offers, one is to provide better predictive results is ensemble generation. Ensemble generation is a powerful technique which aims to increase the predictive performance for a given machine learning task by combining several predictive models.

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