Opinion
Learn With Jay on MSNOpinion

Overfitting vs underfitting: Understand bias and variance

What is overfitting and underfitting in machine learning? What is Bias and Variance? Overfitting and Underfitting are two common problems in machine learning and Deep learning. If a model has low ...
insideHPC

4 Sources of Machine Learning Bias & How to Mitigate the Impact on AI Systems

This guest post from Alegion explores the reality of machine learning bias and how to mitigate its impact on AI systems. Artificial intelligence (AI) isn’t perfect. It exists as a combination of ...
EurekAlert!

Preventing bias in machine learning through data-centric modeling

Based on data, machine learning can quickly and efficiently analyze large amounts of information to provide suggestions and help make decisions. For example, phones and computers expose us to machine ...
USA Today

Strategies to reduce data bias in machine learning

Chances are that you’re familiar with the concept of bias. It is widespread, turning up in discussions about scientific discoveries, politics or cognitive processes. In artificial intelligence and ...
insideHPC

Four Sources of Machine Learning Bias

As a company that specializes in training AI systems, we know only too well that AI systems do precisely what they are taught to do. Models are only as good as their mathematical construction and the ...
Forbes

How To Handle Data And Machine Learning Bias In Production

Zehra Cataltepe is the CEO of TAZI.AI an adaptive, explainable Machine Learning platform. She has more than 100 papers and patents on ML. Do you need to determine if there is bias in your dataset ...