2001, Data Warehouse, Deep Learning and Testing

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

IBM Big Data Hub

JULY 6, 2023

Data from various sources, collected in different forms, require data entry and compilation. That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. One challenge in applying data science is to identify pertinent business issues.

Machine Learning

Machine Learning Data Science Statistics Deep Learning

Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

APRIL 3, 2019

Most of the data management moved to back-end servers, e.g., databases. So we had three tiers providing a separation of concerns: presentation, logic, data. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. We keep feeding the monster data. Disconnects, in a nutshell.

Data Governance

Data Governance Machine Learning Metadata Big Data

Data Leaders Brief

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

Themes and Conferences per Pacoid, Episode 8

Webinars

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