How to Reduce Machine Learning Bias at Each Stage of ML Project Lifecycle

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Artificial intelligence and machine learning are becoming an important part of our daily lives. As they become more popular, concerns are growing around machine learning bias.

In our recent article, our AI expert Serhii Pospielov talked about one of the hot topics related to machine learning ethics — how to mitigate bias in machine learning systems. He discussed the most effective tools and techniques to reduce ML bias at each stage of the project lifecycle.

You’ll learn more about the specifics of each type of bias, methods of testing for biases, and modeling rules that can be applied to reduce them.

Author: Serhii Pospielov