In today's data-driven world, creating a competitive advantage depends on your ability to transform massive volumes of data into meaningful insights. Built into Vertica's core – with no need to download and install separate packages – in-database machine learning transforms the way data scientists and analysts across industries interact with data; removing barriers and accelerating time to value on predictive analytics projects.
Learn how Vertica in-database machine learning supports the entire predictive analytics process with:
End-to-end machine learning management
Massively parallel processing
Simple SQL execution, and
R, Python, Java and C++ extensibility
Vertica's built-in machine learning algorithms support classification, clustering and predictive applications. With functions for model preparation, training, scoring, evaluation and more, data scientists and analysts can embrace the power of Big Data with no limits and no compromises.
Find out how you can accelerate time to value on predictive analytics projects with Vertica.
Download the Whitepaper: Unlock Machine Learning for the New Speed and Scale of Business