@auger

Monitoring Machine Learning Accuracy

The biggest problem in machine learning model accuracy is that all models degrade. They perform well initially but as the real world changes the models no longer capture the underlying structure. Both concept drift (the meaning and universe of values of the target…

Monitoring Machine Learning Accuracy in the Enterprise

Machine learning tools and practices continue to develop at a dizzying pace. The industry has moved on from running Python tools on the data scientist’s local laptop to hosted services from all the major cloud vendors that…

Comparing open source AutoML tools

Auger vs. H2O vs. TPOT on sample datasets

We often get asked how Auger compares to other AutoML tools. Luckily in these days of open source tools this is possible to do in a way that can be validated and reproduced…

Managing IAM Roles for Your Cloud Compute Service for Third-Party Tools

There are many great SaaS products and tools available for developers and data scientists. The best ones integrate with your existing favorite cloud computing service for maximum flexibility. In the case of…

Auger’s New Demo Mode

Sample Datasets to Try with No AWS Credentials

Auger.AI is a free service which automates running multiple trials with your Amazon Web Services account to find the best machine learning model for your dataset. For those of you who…