Machine learning systems are good with making predictions. They can traverse through an in$-$depth complex: if$-$then$-$else statement faster and with greater accurate prediction than humans. But, which of the following is currently a shortcoming of machine learning, where humans on the other hand, excel?

Select one:

a$.$ Machines require lots of data, humans don't.

b$.$ Humans can obtain more data and not just from sight or words, but smell, feel and auditory.

c$.$ Humans can judge and make decisions on preferences.

d$.$ All of the above