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 60

Machine Learning Data Science Statistics Deep Learning 60

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. In short, the virtuous cycle is growing. It’s a mess.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. They’d like to do something more efficient when they’re training a lot of deep learning models.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JULY 9, 2019

In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” It’s a visual problem so it works both in our MSE and it works by your eyeballs. The developers in the group, they write in Python; they leverage scikit-learn heavily. For visualization we’re not building our own dashboards.

Data Science 112

Data Science Machine Learning Advertising Modeling 112