Data Preparation for Machine Learning at Scale

Presented by

Waqas Dhillon and Jeff Healey, Vertica

About this talk

Machine learning and data science can deliver valuable insights from massive amounts of data. However, before the complex machine learning algorithms can be trained for prediction, you need to address the data exploration and preparation steps. Distributed analytical databases like Vertica can be help you address each step of the machine learning process with a combination of analytical capabilities and computational power. Join this Webcast and see how Vertica’s in-database advanced analytics and machine learning functions help you tackle data preparation and overcome the growing challenge of applying machine learning at scale.
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OpenText has completed the purchase of Micro Focus, including Vertica. Our combined expertise expands our analytics offerings to help customers confidently scale analytics to the largest and most demanding workloads for the fastest predictive insights available on the market.