<prompt> Fana ka kakaretso ea boemo bo holimo ea tse latelang.Ho Ithuta ka Mechini  <response>: Instruction in English: Provide a high-level overview of the following. . Response in English: Machine Learning is a subfield of Artificial Intelligence that focuses on the development of algorithms and statistical models to enable computer systems to improve performance on a given task by learning from data, rather than being explicitly programmed. Machine Learning systems can identify and learn patterns in data to make predictions, decisions or offer recommendations, and their performance usually improves with increased exposure to data. Its applications span across various domains, including natural language processing, image and speech recognition, healthcare, financial forecasting, and self-driving cars, among many others. Machine Learning techniques and approaches include supervised learning, unsupervised learning, reinforcement learning, and deep learning. . Response in Sesotho: Ho Ithuta ka Mochine ke karoloana ea Artificial Intelligence e tsepamisitseng maikutlo ho ntsetsopele ea li-algorithms le mehlala ea lipalo ho thusa litsamaiso tsa likhomphutha ho ntlafatsa tsebetso mosebetsing o fanoeng ka ho ithuta ho tsoa ho data, ho fapana le ho hlophisoa ka mokhoa o hlakileng. Sistimi ea ho Ithuta ka Mechini e ka tseba le ho ithuta mekhoa ho data ho etsa likhakanyo, liqeto kapa ho fana ka likhothaletso, me tsebetso ea bona hangata e ntlafala ha ba le tsebo e eketsehileng. Tsebeliso ea eona e sebetsa libakeng tse fapaneng, ho kenyelletsa tsebetso ea puo ea tlhaho, temoho ea litšoantšo le puo, tlhokomelo ea bophelo bo botle, bolepi ba lichelete, le likoloi tse itsamaisang, hara tse ling tse ngata. Mekhoa le mekhoa ea ho Ithuta ka Mechini e kenyelletsa ho ithuta ho hlokometsoeng, ho ithuta ho sa laoleheng, ho matlafatsa thuto le ho ithuta ka botebo. 