<prompt> Etsa serapa se hlalosang phapang pakeng tsa thuto e hlokometsoeng le e sa behoang leihlo.nan  <response>: Instruction in English: Create a paragraph describing the differences between supervised and unsupervised learning. . Response in English: Supervised and unsupervised learning are two distinct approaches to machine learning, with different methodologies and goals. Supervised learning is a type of learning where the algorithm is provided with labeled data as training input, and the objective is to learn the mapping function that predicts the output from the given input. This type of learning is used for classification and regression problems. Unsupervised learning, on the other hand, is a type of learning where the algorithm is not provided with any labeled data, and the objective is to identify patterns and relationships within the data. This type of learning is used for clustering and association problems. The primary difference between the two lies in the fact that supervised learning requires labeled data, while unsupervised learning does not. . Response in Sesotho: Thuto e hlokometsoeng le e sa laoleheng ke mekhoa e meli e fapaneng ea ho ithuta ka mochini, e nang le mekhoa le lipheo tse fapaneng. Thuto e hlokometsoeng ke mofuta oa thuto moo algorithm e fanoang ka lintlha tse ngotsoeng e le tlhahiso ea koetliso, me sepheo ke ho ithuta mosebetsi oa mapa o bolelang esale pele sephetho ho tsoa ho tlhahiso e fanoeng. Mofuta ona oa ho ithuta o sebelisoa bakeng sa mathata a ho hlophisa le ho khutlela morao. Ho ithuta ho sa laoleheng, ka lehlakoreng le leng, ke mofuta oa ho ithuta moo algorithm e sa fanoeng ka data leha e le efe e ngotsoeng, me sepheo ke ho khetholla mekhoa le likamano ka hara data. Mofuta ona oa thuto o sebelisetsoa mathata a ho kopanya le ho kopanya. Phapang ea mantlha lipakeng tsa tsena tse peli ke taba ea hore thuto e hlokometsoeng e hloka data e ngolisitsoeng, athe thuto e sa laoleheng eona ha e hloke. 