Jet Global

DECEMBER 23, 2020

An evolving toolset, shifting data models, and the learning curves associated with change all create some kind of cost for customer organizations. In other cases, costs are more obvious and clearly measurable. You must build and maintain Power BI models, often at great expense and with the help of outside consultants.

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Recreation/Entertainment 52

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. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for There are models everywhere. In other words, #adulting.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

O'Reilly on Data

MAY 27, 2020

Using the new scores, Apgar and her colleagues proved that many infants who initially seemed lifeless could be revived, with success or failure in each case measured by the difference between an Apgar score at one minute after birth, and a second score taken at five minutes.

Risk 354

Risk Testing Measurement Reporting 354

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve comparison of the exposed and unexposed groups would produce an overly optimistic measurement of the effect of the ad, since the exposed group has a higher baseline likelihood of purchasing a pickup truck. The choice of space $cal F$ (sometimes called the model ) and loss function $L$ explicitly defines the estimation problem.

Statistics 44

Statistics Optimization Modeling Experimentation 44

CIO Business Intelligence

APRIL 22, 2022

The certification focuses on managing, budgeting, and determining scope for multiple projects, multiple project teams, and assessing and mitigating interdependent risks to deliver projects successfully. 11, 2001, terrorist attacks to address issues of cyberterrorism and the information security of nations at large. Price: $280.

Management 111

Management Cost-Benefit Testing Risk 111

Domino Data Lab

MAY 20, 2021

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. This renders measures like classification accuracy meaningless. This carries the risk of this modification performing worse than simpler approaches like majority under-sampling. Chawla et al.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Domino Data Lab

AUGUST 8, 2019

Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. Their approach is to bombard “organoid” mini brains living in vats with potential cancer meds, to measure the meds’ relative effects. The probabilistic nature changes the risks and process required.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71