Build New Models Efficiently
In the era of data democratization, it is important that an automated
workflow is there for the machine learning models so that the data
scientists can prepare, develop, deploy, test and manage the ML driven
use cases at a big scale. Automated Machine Learning capability enables
the citizen data scientists to seamlessly build new models efficiently, thus
enabling the organizations to introduce innovations at a faster rate. The
important ML activities such as data preparation using raw data, model
selection, training and testing of data, recommendation of best fit, etc. can
be automated.
