<prompt> Akaretsa mongolo o fanoeng mabapi le ho ithuta ka mochini.Ho ithuta ka mochini ke mofuta oa bohlale ba maiketsetso bo fang likhomphutha bokhoni ba ho ithuta ntle le ho hlophisoa ka mokhoa o hlakileng. E tsepamisitse maikutlo ho ntsetsopele ea mananeo a khomphutha a ka fihlelang data le ho e sebelisa ho ithuta ka bobona. Mokhoa oa ho ithuta ka mochini o arotsoe likarolo tse peli, thuto e hlokometsoeng le e sa laoleheng. Thutong e laoloang, khomphieutha e fuoa tlhahiso bakeng sa tlhahiso e ngoe le e ngoe me e sebelisetsoa ho ntlafatsa li-algorithms tsa eona ho hlahisa tlhahiso e akaretsang. Thutong e sa laoleheng, komporo e fuoa tlhahiso ebe e batla lipaterone kapa mekhoa ea data.  <response>: Instruction in English: Summarize the given text about machine learning. . Response in English: Machine learning is a branch of AI which enables computers to self-learn without specific programming. It involves developing algorithms that can access and analyze data to improve their performance. There are two approaches to machine learning, supervised and unsupervised. In supervised learning, the computer is trained with input-output pairs and aims to produce generalized outputs. In unsupervised learning, the computer searches for patterns or trends within the input data. . Response in Sesotho: Ho ithuta ka mochini ke lekala la AI le nolofalletsang likhomphutha ho ithuta ntle le mananeo a khethehileng. E kenyelletsa ho etsa li-algorithms tse ka fihlellang le ho sekaseka data ho ntlafatsa tsebetso ea tsona. Ho na le mekhoa e meli ea ho ithuta ka mochini, e laoloang le e sa laoleheng. Thutong e hlokometsoeng, komporo e koetlisoa ka li-input-output pairs me e ikemiselitse ho hlahisa liphetho tse akaretsang. Thutong e sa laoleheng, komporo e batla mekhoa kapa mekhoa ka hara data e kentsoeng. 