Learn With Jay on MSN

Bias vs variance explained: Avoid overfitting in ML

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 ...
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

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 ...
Forbes

How To Avoid Bias In Machine Learning Algorithms

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...

Overfitting in Data Modeling: Understanding and Prevention

Learn what overfitting is, how it impacts data models, and effective strategies to prevent it, such as cross-validation and simplification.
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 ...