Understanding how overfit and underfit work in data modeling can help marketers work better with technical teams when selecting data for ML models. Remember feeling nervous before a school exam? For ...
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 ...
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 ...
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, ...
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 ...
COLLEGE STATION, Texas (KBTX) - Researches at Texas A&M are working to eliminate bias in artificial intelligence and machine learning. Earlier this year, researchers there created Code^Shift Lab to ...
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