IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

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”. He was saying this doesn’t belong just in statistics. Key highlights from the session include.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JULY 9, 2019

I do not want a product manager being the information bottleneck between people who are supposed to do some research and develop a product that is useful and somebody who’s going to be the end user. In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” We crowdsourced it.

Data Science 112

Data Science Machine Learning Advertising Modeling 112