a$)$ Compare and contrast the following terms: supervised learning vs$.$ unsupervised learning; classification vs$.$ class probability estimation; clustering vs$.$ association rule mining; data science vs$.$ data mining. b$)$ Define Data$-$Analytic thinking. c$)$ Define CRISP data mining process. $($Try to strike a balance between being$$concise$,$ precise and layman friendly in all your descriptions$).$