2002, Data Collection and Visualization

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

CIO Business Intelligence

JANUARY 17, 2024

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. Its digital transformation process can be divided into several stages, according to Mohammed, each with its own objectives and challenges.

Digital Transformation

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

MAY 20, 2021

Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large. In their 2002 paper Chawla et al. Figure 3 shows visual explanation of how SMOTE generates synthetic observations in this case.

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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