Ernie Smith is a former contributor to BizTech, an old-school blogger who specializes in side projects, and a tech history nut who researches vintage operating systems for fun. In data analysis, it is ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...

In May 2025, TikTok was fined roughly $600 million under the General Data Protection Regulation (GDPR) for failing to prove EU user data was sufficiently protected. This penalty should be a wake-up ...

This is a preview. Log in through your library . Abstract The phenomenon of benign overfitting is one of the key mysteries uncovered by deep learning methodology: deep neural networks seem to predict ...

Data is the bedrock of AI and machine learning — so it only makes sense that at Transform 2020 we dedicated time to look under the hood and query some leading data experts about the trends they’re ...