Available On-Demand - This webinar has been recorded and is now available for download.
A number of trends have converged recently to make machine learning (ML) more desirable and practical than ever:
However, embracing machine learning successfully is challenging due to the non-trivial data requirements to deploy ML solutions. During development, creating a functional ML model requires large volumes of diverse data. In production, a deployed ML model still requires voluminous data to learn and improve over time. In turn, managing big data for machine learning demands a robust data management infrastructure and tool portfolio.
In this TDWI webinar, you will learn about:
Individual, Student, and Team memberships available.