2001, Data Analytics, Data mining and Statistics

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

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning

Machine Learning Data Science Statistics Deep Learning

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

Alation

MARCH 29, 2022

As Business Objects founder Bernard Liautaud notes in e-Business Intelligence: Turning Information Into Knowledge Into Profit (McGraw-Hill, 2001), the lack of ad hoc data access causes IT staff to drown in requests. Slow requirements led technology leaders to demand proactive business intelligence.

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

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