2001, KPI, Risk and Visualization

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

IBM Big Data Hub

JULY 6, 2023

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics. ” “Data science” was first used as an independent discipline in 2001.

Machine Learning

Machine Learning Data Science Statistics Deep Learning

Data Science at The New York Times

Domino Data Lab

JULY 9, 2019

In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” You can sleep at night as a data scientician and you know you’re not building a random number generator, but the people from product, they don’t want to know just that you can predict who’s going to be at risk. And it works.

Data Science

Data Science Machine Learning Advertising Modeling

Data Leaders Brief

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

Data Science at The New York Times

Webinars

Stay Connected