A computer scientist $(1)$ trains a machine learning system to identify patients with certain genetic diseases using a large dataset of labeled case histories, and $(2)$ instructs the system to suggest diagnostic protocols for such diseases that are more effective than those used in the dataset. These tasks are examples of$,$ respectively:a$.(1)$ genetic algorithms and $(2)$ unsupervised learningb. $(1)$ expert systems and $(2)$ genetic algorithmsO c$.(1)$ unsupervised and $(2)$ supervised learningO d$.(1)$ semi$-$supervised learning and $(2)$ expert systemsOe. $(1)$ supervised and $(2)$ semi$-$supervised learning