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. Some examples of data science use cases include: An international bank uses ML-powered credit risk models to deliver faster loans over a mobile app.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

Domino Data Lab

JULY 22, 2019

why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”. Then software adapts. Software is reactive to what happens in hardware in a lot of ways.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

APRIL 3, 2019

I have expertise in data science, plus adjacent fields such as cloud computing, software architecture, natural language, data management… So I should have a good working knowledge about the topic – but I didn’t. That presented an opportunity to learn, putting me in the same position as much of the audience. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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.

Data Science 112

Data Science Machine Learning Advertising Modeling 112