IBM Big Data Hub

JULY 6, 2023

.” “Data science” was first used as an independent discipline in 2001. Both data science and machine learning are used by data engineers and in almost every industry. Because data analysts often build machine learning models, programming and AI knowledge are also valuable. appeared first on IBM Blog.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Domino Data Lab

APRIL 3, 2019

We find ways to improve machine learning so that it requires orders of magnitude more data, e.g., deep learning with neural networks. My read of that narrative arc is that some truly weird tensions showed up circa 2001: Arguably, it’s the heyday of DW+BI. Does machine learning change priorities? It’s a mess.

Data Governance 84

Data Governance Machine Learning Metadata Data Science 84

Domino Data Lab

JULY 9, 2019

A “data scientist” might build a multistage processing pipeline in Python, design a hypothesis test, perform a regression analysis over data samples with R, design and implement an algorithm in Hadoop, or communicate the results of our analyses to other members of the organization in a clear and concise fashion. And it works.

Data Science 112

Data Science Machine Learning Advertising Modeling 112