Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for My read of that narrative arc is that some truly weird tensions showed up circa 2001: Arguably, it’s the heyday of DW+BI. A very big mess since circa 2001, and now becoming quite a dangerous mess. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

JANUARY 6, 2019

What are the projected risks for companies that fall behind for internal training in data science? In terms of teaching and learning data science, Project Jupyter is probably the biggest news over the past decade – even though Jupyter’s origins go back to 2001! Data visualization for prediction accuracy ( credit: R2D3 ).

Data Science 56

Data Science Machine Learning Reporting Visualization 56

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 112

Data Science Machine Learning Advertising Modeling 112