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. appeared first on IBM Blog.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Occam's Razor

APRIL 25, 2011

Now switching to something a bit more near and dear to my heart, analytics "crimes against humanity" 8. Web Analytics, 4Q, KissInsights, Insights for Search, AdPlanner, and all the other glorious free tools. Doing anything on the web without a Web Analytics Measurement Model. Life is a lot more complex (and sexy!).

Marketing 126

Marketing Measurement Metrics Testing 126

Domino Data Lab

JULY 22, 2019

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” The data governance, however, is still pretty much over on the data warehouse. I can point to the year 2001.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109