Democratize machine learning for developers with limited ML experience.
Get a baseline model quickly if you need it or apply your domain expertise and customize the training pipeline.
Keep a step ahead of declining performance through comprehensive monitoring and alerting.
Track shifts in the distribution of your data and discover drift as it occurs and link it to model retraining.
Access scikit-learn, Spark MLlib, Catboost, and other commonly used ML libraries using the same code.
Preprocess your data, optimize and train models all tracked in a unified way, whether working on a single machine or a cluster.