Top 6 Common Biases In ML Models - Analytics India Magazine

Machine learning is not just about machines. There is still a human element in the loop, and it looks like this will continue for some time. In other words, artificial general intelligence (AGI) is a distant dream. Since humans are interfering in the learning processes of ML models, the underlying biases surface in the form of inaccurate results. Having an unbiased model is almost impossible as humans generate the data, and a model is only as good as the data it is fed.