datapine

JANUARY 6, 2022

In fact, a Digital Universe study found that the total data supply in 2012 was 2.8 Predictive analysis: As its name suggests, the predictive analysis method aims to predict future developments by analyzing historical and current data. To cut costs and reduce test time, Intel implemented predictive data analyses.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

MAY 14, 2019

6) “The Signal And The Noise: Why So Many Predictions Fail – But Some Don’t” by Nate Silver. Best for: The CEO, Chief Digital Officer, Chief Information Officer, or business owner looking to seriously enhance their predictive analytics skills, both practically and theoretically. click for book source**.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

Domino Data Lab

JULY 22, 2019

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” Those workflows would feedback into your business analytics. They would’ve said, “You know what?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JUNE 2, 2019

I recall a “Data Drinkup Group” gathering at a pub in Palo Alto, circa 2012, where I overheard Pete Skomoroch talking with other data scientists about Kahneman’s work. Then calculate the variance divided by the mean to construct a metric for noise in decision-making. Measure how these decisions vary across your population.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110