2001, Data Collection and Measurement

A history of tech adaptation for today’s changing business needs

CIO Business Intelligence

JANUARY 17, 2024

“The company has been on a continuous journey to adapt its internal and external processes to new business needs and opportunities since 2001.” The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection.

Digital Transformation

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

MAY 20, 2021

Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. References. link] Chawla, N.

Machine Learning

Machine Learning Metrics Data mining Knowledge Discovery

Data Leaders Brief

A history of tech adaptation for today’s changing business needs

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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