Jen Stirrup

APRIL 2, 2019

I thought I’d share how we started to apply marketing theory, practice, and insights from data. There are tons of ‘skate on the surface’ marketing soundbite books, which may sound good at the first glance with no depth. The secret is the data. After all, the Internet can break a business very quickly!

Marketing 59

Marketing Advertising Data-driven Strategy 59

O'Reilly on Data

MAY 27, 2020

Whether driven by my score, or by their own firsthand experience, the doctors sent me straight to the neonatal intensive care ward, where I spent my first few days. And yet a number or category label that describes a human life is not only machine-readable data. Books, in turn, get matching scores to reflect their difficulty.

Risk 355

Risk Testing Measurement Reporting 355

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

The Unofficial Google Data Science Blog

JUNE 30, 2016

By IVAN DIAZ & JOSEPH KELLY Determining the causal effects of an action—which we call treatment—on an outcome of interest is at the heart of many data analysis efforts. To do this, you have a data set at the person level containing, among other variables, an indicator of ad exposure, and whether the person bought the truck.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Ontotext

JULY 29, 2021

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. And what are the commercial implications of semantic technologies for enterprise data? Source: tag.ontotext.com.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71