Log transformation, for instance, is applied to diminish skewness, thereby stabilizing variance and normalizing data — a beneficial trait for numerous machine learning algorithms.

But what exactly is dirty data, and why is it such a problem? It’s axiomatic to say that data is the new oil of the digital economy, but this is especially true in fields like machine learning.

Poor data quality is enemy number one to the widespread, profitable use of machine learning. The quality demands of machine learning are steep, and bad data can rear its ugly head twice both in ...

Data, analytics, machine learning, and AI in healthcare in 2021 What do you get when you juxtapose two of the hottest domains today - AI and healthcare? A peek into the future, potentially.

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research ...

The increased rate of data collection relating to athlete load has led to interest in machine learning (ML) approaches for sports data analysis, including injury risk prediction. Prior reviews have ...