Analytics Vidhya

SEPTEMBER 1, 2022

The most common reason is to cause a malfunction in a machine learning model; an adversarial attack might entail presenting a model with inaccurate or misrepresentative data as its training or introducing maliciously designed data to deceive an already […].

Machine Learning 349

Machine Learning Modeling Analytics IT 349

DataRobot

AUGUST 25, 2021

For one thing, there’s mathematical complexity around identifying the presence of bias in data. A family of bias and fairness metrics in modeling describes the ways in which a model can perform differently for distinct groups in your data. The largest source of bias in an AI system is the data it was trained on.

Metrics 98

Metrics Measurement Machine Learning Data Collection 98

Perceptual Edge

MARCH 9, 2020

It galls me when people oversell data visualization. Data visualization combines technologies (visual representations of quantitative data) with specific skills (techniques for creating and interacting with those visual representations) to make sense of and communicate quantitative data. That’s enough.

Visualization 57

Visualization Statistics Interactive Technology 57

Perceptual Edge

APRIL 21, 2019

This certainly applies to data visualization, which unfortunately lends itself to a great deal of noise if we’re not careful and skilled. No accurate item of data, in and of itself, always qualifies either as a signal or noise. Another ratio that is common in data communication, a probability ratio, is related to an odds ratio.

Visualization 76

Visualization Statistics Uncertainty Modeling 76

Smart Data Collective

DECEMBER 5, 2019

It goes without saying that analytics is a data-driven method that has existed with a history of being misunderstood since the beginning of its introduction to the world. Often referred to as the “ fabric of the future ”, analytics is essentially the systematic analysis of data or statistics that is carried out via computational devices.

Analytics 53

Analytics Advertising Statistics Data-driven 53

Ontotext

JANUARY 21, 2021

The Financial Industry Business Ontology (FIBO) is a standard that is being developed and published by the Enterprise Data Management Council that attempts to capture business domain knowledge using sophisticated knowledge representation techniques and linked open data technologies. In this way, FIBO can give meaning to any data (e.g.,

Modeling 72

Modeling Finance Technology Insurance 72

DataRobot

JULY 8, 2021

AI systems and the data they use can cross national borders and diverse cultures. Because consumer privacy is of the utmost importance, your data team must be aware of data that might contain personally identifiable information (PII), even if it’s as simple as an email address. There is no one-size-fits-all approach.

Machine Learning 52

Machine Learning Modeling Interactive Risk 52