<prompt> Phapano ke efe lipakeng tsa algorithm ea ho ithuta e hlokometsoeng le algorithm ea ho ithuta e sa behoang leihlo?nan  <response>: Instruction in English: What is the difference between a supervised learning algorithm and an unsupervised learning algorithm? . Response in English: Supervised learning and unsupervised learning are two main categories of machine learning algorithms that differ in several ways. Supervised learning algorithms are trained using labeled data, or data that has known outputs. The algorithm learns by analyzing input-output pairs and finding a mapping function that can be used to make predictions on new, unseen data. Supervised learning is often used for classification and regression problems, where the objective is to assign a label to new data or predict a continuous value.On the other hand, unsupervised learning algorithms dont have access to labeled data and instead work with unlabeled data. These algorithms aim to find patterns in the data, and are typically used for clustering, dimensionality reduction, and association rule learning. The goal of unsupervised learning is to uncover hidden structure in the data and find relationships among the different variables.In summary, the main difference between supervised and unsupervised learning algorithms is the presence or absence of labeled data. They also differ in their objectives - supervised learning aims to make accurate predictions on new data, while unsupervised learning attempts to find structure in the data. Both methods have their advantages and are used in a wide range of applications. . Response in Sesotho: Thuto e hlokometsoeng le thuto e sa laoleheng ke mekhahlelo e meli ea mantlha ea li-algorithms tsa ho ithuta ka mochini tse fapaneng ka mekhoa e mengata. Litaolo tsa ho ithuta tse hlokometsoeng li koetlisetsoa ho sebelisa lintlha tse ngotsoeng, kapa lintlha tse nang le liphetho tse tsebahalang. Algorithm e ithuta ka ho sekaseka lipara tsa ho kenya le ho fumana tšebetso ea mapa e ka sebelisoang ho etsa likhakanyo ho data e ncha, e sa bonahaleng. Thuto e hlokometsoeng e atisa ho sebelisoa bakeng sa mathata a lihlopha le a ho khutlela morao, moo sepheo e leng ho fana ka lengolo ho data e ncha kapa ho bolela esale pele boleng bo tsoelang pele. Ka lehlakoreng le leng, li-algorithms tsa ho ithuta tse sa laoleheng ha li na mokhoa oa ho fumana lintlha tse ngolisitsoeng empa li sebetsa ka data e sa ngolisoang. Li-algorithms tsena li ikemiselitse ho fumana lipaterone ho data, me hangata li sebelisetsoa ho kopanya, ho fokotsa boholo, le ho ithuta melao ea mokhatlo. Sepheo sa thuto e sa laoleheng ke ho utolla sebopeho se patiloeng ho data le ho fumana likamano hara mefuta e fapaneng. Ka bokhutšoanyane, phapang e kholo lipakeng tsa mekhoa ea ho ithuta e hlokometsoeng le e sa behoang leihlo ke ho ba teng kapa ho ba sieo ha data e ngotsoeng. Li boetse lia fapana mererong ea tsona - sepheo sa thuto e hlokometsoeng ke ho bolela esale pele ka nepo ho data e ncha, ha thuto e sa laoloe e leka ho fumana sebopeho ho data. Mekhoa ena ka bobeli e na le melemo ea eona ebile e sebelisoa mefuteng e mengata ea litsebetso. 