<prompt> Nahana ka lisebelisoa tse 3 tse ka bang teng tsa ho ithuta ka mochini.nan  <response>: Instruction in English: Brainstorm 3 possible applications of machine learning. . Response in English: 1. Predictive Maintenance: Machine learning can be used to predict when a machine is likely to fail or require maintenance. This would allow for timely repair and minimize downtime, thus leading to cost savings and improved operational efficiency for businesses.2. Healthcare Diagnosis: Advanced machine learning techniques can be used to analyze medical images, patient data and other diagnostic information to aid in the diagnosis of diseases. Such tools can help doctors to make more accurate and timely medical decisions, thus improving patient outcomes.3. Personalized Advertising: By analyzing large amounts of data related to an individuals browsing and purchasing behavior, machine learning algorithms can identify patterns and make predictions about their preferences. This information can then be leveraged to serve personalized and more relevant ads to consumers, thus leading to improved engagement and conversion rates for businesses. . Response in Sesotho: 1. Tlhokomelo ea Bohlokoa: Ho ithuta ka mochini ho ka sebelisoa ho bolela esale pele hore na mochini o kanna oa hloleha neng kapa o hloka tlhokomelo. Sena se tla lumella ho lokisoa ka nako le ho fokotsa nako ea ho theoha, ka hona ho lebisa ho phokotso ea litšenyehelo le ho ntlafatsa tsebetso ea likhoebo. 2. Tlhahlobo ea Bophelo bo Botle: Mekhoa e tsoetseng pele ea ho ithuta mochine e ka sebelisoa ho hlahloba litšoantšo tsa bongaka, lintlha tsa mokuli le boitsebiso bo bong ba ho hlahloba ho thusa ho hlahloba mafu. Lisebelisoa tse joalo li ka thusa lingaka ho etsa liqeto tse nepahetseng haholoanyane le tse nakong, kahoo tsa ntlafatsa liphello tsa mokuli. 3. Papatso e Ikemetseng: Ka ho hlahloba lintlha tse ngata tse amanang le mokhoa oa motho oa ho bala le oa ho reka, mekhoa ea ho ithuta ka mochine e ka khetholla mekhoa le ho bolela esale pele ka likhetho tsa bona. Lintlha tsena li ka sebelisoa ho fana ka lipapatso tsa motho ka mong le tse amehang haholoanyane ho bareki, ka hona ho lebisa ntlafatsong ea likamano le litheko tsa phetoho bakeng sa likhoebo. 