2001, Data mining, IT and Statistics

Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

JULY 6, 2023

Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets. It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. It requires data science tools to first clean, prepare and analyze unstructured big data.

Machine Learning

Machine Learning Data Science Statistics Deep Learning

Self-Service BI vs Traditional BI: What’s Next?

Alation

MARCH 29, 2022

Today, the term describes that same activity, but on a much larger scale, as organizations race to collect, analyze, and act on data first. But there have always been limits on who can access valuable data, as well as how it can be used. In the 1970s, data was confined to mainframes and primitive databases.

Business Intelligence

Business Intelligence Reporting Data mining Data-driven

Data Leaders Brief

Data science vs. machine learning: What’s the difference?

Self-Service BI vs Traditional BI: What’s Next?

Webinars

Stay Connected