<prompt> Hlalosa hore na theknoloji e latelang e sebetsa joang: Ho ithuta ka mochini.nan  <response>: Instruction in English: Explain how the following technology works: Machine learning. . Response in English: Machine learning is a subset of artificial intelligence that enables systems to automatically learn and improve from experience, without being explicitly programmed. It is the process by which algorithms, computer programs and models are able to analyze, learn from and make decisions based on data.The basic idea behind machine learning is to train a model or algorithm on a set of data, allowing it to learn relationships between different features in the data, and make predictions or decisions based on new data. There are many different techniques and algorithms used in machine learning, and they can be grouped into three main categories: supervised learning, unsupervised learning, and reinforcement learning.In supervised learning, the algorithm is given a labeled training dataset, which it uses to learn to classify new data or make predictions. The algorithm is trained to map the inputs to the desired outputs, and it continues to improve as it sees more data. Common techniques for supervised learning include decision trees, k-nearest neighbors, and support vector machines.Unsupervised learning, on the other hand, does not involve labeled training data. Instead, the algorithm is given a dataset and must find patterns, relationships or groupings within the data on its own. Common techniques for unsupervised learning include clustering, dimensionality reduction, and association rule mining.In reinforcement learning, an algorithm learns by interacting with an environment, and receives rewards or penalties based on its actions. The algorithm seeks to maximize its rewards over time, by finding the best sequence of actions to take. This type of learning is particularly useful in game playing, autonomous driving, and robot control.Overall, machine learning is an incredibly powerful tool for finding patterns, making predictions, and automating decision-making. It continues to evolve and has applications in a wide range of fields, from finance and healthcare to retail and transportation. . Response in Sesotho: Ho ithuta ka mochini ke karoloana ea bohlale ba maiketsetso bo nolofalletsang litsamaiso ho ithuta le ho ntlafatsa ho tsoa ho boiphihlelo, ntle le ho hlophisoa ka mokhoa o hlakileng. Ke mokhoa oo li-algorithms, mananeo a khomphutha le mehlala li khonang ho li sekaseka, ho ithuta le ho etsa liqeto tse thehiloeng ho data. Mohopolo oa mantlha oa ho ithuta ka mochini ke ho koetlisa mohlala kapa algorithm ka sete ea data, ho e lumella ho ithuta likamano lipakeng tsa likarolo tse fapaneng ho data, le ho etsa likhakanyo kapa liqeto tse thehiloeng ho data e ncha. Ho na le mekhoa e mengata e fapaneng e fapaneng e sebelisoang thutong ea mochini, me e ka hlophisoa ka mekhahlelo e meraro e meholo: thuto e hlokometsoeng, thuto e sa laoleheng, le thuto ea matlafatso. Thutong e hlokometsoeng, algorithm e fuoa lethathamo la lithupelo le ngotsoeng, leo e le sebelisang ho ithuta ho hlophisa lintlha tse ncha kapa ho bolela esale pele. Algorithm e koetliselitsoe ho etsa mapa oa lintho tse kenang ho liphetho tse lakatsehang, me e ntse e tsoela pele ho ntlafala ha e bona lintlha tse ngata. Mekhoa e tloaelehileng ea ho ithuta e hlokometsoeng e kenyelletsa lifate tsa liqeto, baahisani ba haufi le k, le mechini e tšehetsang vector. Ka lehlakoreng le leng, thuto e sa laoleheng ha e akaretse lintlha tsa koetliso tse ngolisitsoeng. Sebakeng seo, algorithm e fuoa dataset mme e tlameha ho fumana lipaterone, likamano kapa lihlopha ka hara data ka bo eona. Mekhoa e tloaelehileng ea ho ithuta ho sa hlokomeloe e kenyelletsa ho kopanya, ho fokotsa boholo, le merafo ea melao ea mokhatlo. Thutong ea ho matlafatsa, algorithm e ithuta ka ho sebelisana le tikoloho, me e fumana meputso kapa likotlo ho latela liketso tsa eona. Algorithm e batla ho eketsa meputso ea eona ha nako e ntse e ea, ka ho fumana tatellano e ntle ka ho fetisisa ea liketso tse lokelang ho etsoa. Mofuta ona oa ho ithuta o bohlokoa haholo papaling, ho khanna motho a le mong, le taolong ea liroboto. Ka kakaretso, ho ithuta ka mochini ke sesebelisoa se matla haholo sa ho fumana lipaterone, ho bolela esale pele, le ho iketsetsa liqeto. E ntse e tsoela pele ho fetoha me e na le litsebetso mefuteng e mengata e fapaneng, ho tloha licheleteng le tlhokomelo ea bophelo ho ea mabenkeleng le lipalangoang. 