University of Texas Dallas: Researcher Develops Better Tools for Understanding, Protecting Big Data
April 03, 2021
April 03, 2021
RICHARDSON, Texas, April 3 (TNSJou) -- The University of Texas Dallas campus issued the following news:
Patterns and anomalies in big data can help businesses target likely customers, reveal fraud or even predict drug interactions. Unfortunately, these patterns are often not easily observable. To extract the needles of useful information out of haystacks of data, data scientists need increasingly powerful methods of machine learning.
Dr. Aria Nosratinia, the Erik Jonsso . . .
Patterns and anomalies in big data can help businesses target likely customers, reveal fraud or even predict drug interactions. Unfortunately, these patterns are often not easily observable. To extract the needles of useful information out of haystacks of data, data scientists need increasingly powerful methods of machine learning.
Dr. Aria Nosratinia, the Erik Jonsso . . .