2001, Deep Learning, Document and Modeling

Data Science at The New York Times

Domino Data Lab

JULY 9, 2019

Assessing whether a business stakeholder is trying to solve for a problem that is descriptive, predictive, or prescriptive and then re-framing the problem as supervised learning, unsupervised learning, or reinforcement learning, respectively. Because I’m an academic I like to look at the original founding documents.

Data Science

Data Science Machine Learning Advertising Modeling

Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

APRIL 3, 2019

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. As the story goes, the general history of DG is punctuated by four eras: “Application Era” (1960–1990) – some data modeling, ?though Newer work in machine learning (e.g.,

Data Governance

Data Governance Machine Learning Metadata Big Data

Data Leaders Brief

Data Science at The New York Times

Themes and Conferences per Pacoid, Episode 8

Webinars

Stay Connected