How can machine learning be used to improve subjective decision making?

Machine learning can improve subjective decision-making by making it more data-driven and consistent. It helps in the following ways:

1. Finds patterns from past data: ML studies previous decisions and outcomes to learn what usually leads to better results.
2. Converts opinions into numbers: Feedback like ratings, reviews, and choices can be changed into scores, so they can be compared more objectively.
3. Reduces human bias: The same rules are applied to everyone, which can reduce favouritism and random judgement.
4. Supports better comparisons: ML can compare many factors at the same time and suggest the best option.
5. Gives predictions and recommendations: It can predict likely outcomes and recommend actions, helping decision makers choose wisely.

Thus, machine learning makes subjective decisions more fair, accurate, and based on evidence.