Bias is the phenomenon that skews the results of an algorithm in favor of or against an idea. Bias is observed as a systematic mistake that happens in the machine learning model itself due to wrong beliefs in the ML process. Biased machine learning can also be applied when interpreting valid or invalid results from accepted data models. Almost all common machine learning data types come from our own cognitive biases. Some examples are anchoring bias, availability bias, confirmation bias, and stability bias.

BY Best Interview Question ON 30 Dec 2023