What are the types of bias in machine learning?

What are the different types of bias that can occur in machine learning?

There are several types of bias in machine learning, including selection bias, confirmation bias, and algorithmic bias. Would you like to know more about each type?

Yes, please explain selection bias.

Selection bias occurs when the data used to train a model is not representative of the overall population, leading to skewed results.

What about confirmation bias?

Confirmation bias happens when a model is trained on data that confirms existing beliefs, ignoring data that contradicts them.

Can you give an example of algorithmic bias?

Sure! Algorithmic bias can occur when a model makes decisions based on biased training data, like facial recognition systems misidentifying individuals from certain demographics.