Data Collection, Data-driven, Knowledge Discovery and Measurement

On the Hunt for Patterns: from Hippocrates to Supercomputers

Ontotext

MAY 18, 2020

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data.

Knowledge Discovery

Knowledge Discovery Experimentation Data-driven Metadata

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

MAY 20, 2021

Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. This renders measures like classification accuracy meaningless. 1988), E-state data (Hall et al., Merging the two results in a completely balanced dataset (50:50). Their tests are performed using C4.5-generated

Machine Learning

Machine Learning Metrics Data mining Knowledge Discovery

Data Leaders Brief

On the Hunt for Patterns: from Hippocrates to Supercomputers

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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