Occam's Razor
SEPTEMBER 24, 2012
FBe's recommendation was (paraphrasing a 35 min talk): Don't invent new metrics, use online versions of Reach and GRPs to measure success. Because we don't understand the uniqueness, we fall back on profoundly sub-optimal old world metrics like Reach or Online GRP equivalents. Metrics are a problem.
DataRobot Blog
MAY 26, 2022
When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. Figure 4: DataRobot provides an interactive ROC curve specifying relevant model performance metrics on the bottom right.
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Cloudera
SEPTEMBER 20, 2022
A “comic book” in this context is a story told visually through a series of images, and optionally (though often) in conjunction with written language, e.g., in speech bubbles or as captions. 22nd European Regional ITS Conference, Budapest 2011: Innovative ICT Applications – Emerging Regulatory, Economic and Policy Issues.
Smart Data Collective
APRIL 2, 2019
According to Forbes in 2011, the idea of the Data Lake was already gaining traction as companies started to consider the idea of moving their data from off-site repositories to cloud-accessible online storage , a reality that was further cemented by the cheap availability of cloud storage. The Thrust for Data Lake Creation.
Occam's Razor
APRIL 25, 2011
" I'd postulated this rule in 2005, it is even more true in 2011. Making lame metrics the measures of success: Impressions, Click-throughs, Page Views. Use metrics that matter: Loyalty, Recency , Net Profit, Conversation Rate, Message Amplification , Brand Evangelist Index , Customer Lifetime Value and so on and so forth.
datapine
APRIL 15, 2020
It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. The term “agile” was originally conceived in 2011 as a software development methodology.
Domino Data Lab
OCTOBER 9, 2019
It divides the observations into discrete groups based on some distance metric. According to David Madigan, the former chair of Department of Statistics and current Dean of Faculty of Arts and Sciences and Professor of Statistics at Columbia University, a good metric for determining the optimal number of clusters is Hartigan’s rule (J.
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