<prompt> Ngola tse ling tsa lisebelisoa tse tloaelehileng tsa ho ithuta ka mochini.nan  <response>: Instruction in English: List some common applications of machine learning. . Response in English: Machine learning has a wide range of applications across various industries. Some of the most common applications include:1. Image and Speech recognition: This is one of the most popular applications of machine learning, which enables machines to interpret and understand human speech and images.2. Recommender Systems: Machine learning is widely used in recommendation systems of online platforms such as Amazon, Netflix, and YouTube to provide personalized suggestions based on the users past behavior.3. Fraud Detection: Machine learning is used to predicting and detecting fraudulent activities in various industries such as banking, insurance, and e-commerce.4. Medical Diagnosis: Machine learning is playing a significant role in the rapid and accurate diagnosis of diseases by assisting doctors to make data-driven decisions based on the patients medical history.5. Predictive Maintenance: Machine learning is used to predict the likelihood of machinery breakdowns, thereby enabling timely maintenance and reducing downtime in industries such as aviation, manufacturing, and oil and gas.6. Autonomous vehicles: Machine learning techniques such as deep learning and computer vision are used to train self-driving cars to perform various tasks such as object and pedestrian detection, lane keeping, and route planning.7. Sentiment Analysis: Machine learning is used to analyze the sentiment of texts on social media, customer reviews, and survey responses to determine overall consumer sentiment.8. Customer segmentation: Machine learning is used to group customers based on their preferences and behavior, to enable companies to tailor their marketing efforts and increase customer engagement. . Response in Sesotho: Ho ithuta ka mochini ho na le litsebetso tse fapaneng ho pholletsa le liindasteri tse fapaneng. Tse ling tsa litsebetso tse atileng haholo li kenyelletsa: 1. Tlhokomeliso ea Setsoantso le Puo: Ena ke e ngoe ea litsebetso tse tsebahalang haholo tsa ho ithuta ka mochini, e nolofalletsang mechini ho hlalosa le ho utloisisa lipuo le litšoantšo tsa batho. 2. Recommender Systems: Ho ithuta ka mochini ho sebelisoa haholo litsebetsong tsa likhothaletso tsa li-platform tsa marang-rang tse kang Amazon, Netflix, le YouTube ho fana ka litlhahiso tsa motho ka mong tse ipapisitseng le boitšoaro ba nakong e fetileng ba mosebelisi. 3. Ho lemoha Bomenemene: Ho ithuta ka mochine ho sebelisetsoa ho bolela esale pele le ho lemoha liketso tsa bolotsana liindastering tse fapa-fapaneng tse kang libanka, inshorense le khoebo ea e-commerce. 4. Tlhahlobo ea Bongaka: Ho ithuta ka mochine ho phetha karolo ea bohlokoa ho hlahloba mafu ka potlako le ka nepo ka ho thusa lingaka ho etsa liqeto tse itšetlehileng ka boitsebiso bo thehiloeng historing ea bongaka ea mokuli. 5. Tlhokomelo e reriloeng esale pele: Ho ithuta ka mochini ho sebelisetsoa ho bolela esale pele monyetla oa ho senyeha ha mechini, ka hona ho nolofalletsa ho lokisoa ka nako le ho fokotsa nako ea ho theoha liindasteri tse kang sefofane, tlhahiso, oli le khase. 6. Likoloi tse ikemetseng: Mekhoa ea ho ithuta ka mochine e kang ho ithuta ka botebo le pono ea khomphieutha e sebelisetsoa ho koetlisa likoloi tse itšoereng ho etsa mesebetsi e sa tšoaneng e kang ho lemoha lintho le ba tsamaeang ka maoto, ho boloka litsela le ho rera litsela. 7. Tlhahlobo ea Maikutlo: Ho ithuta ka mochine ho sebelisoa ho hlahloba maikutlo a litemana ho mecha ea litaba ea sechaba, maikutlo a bareki, le likarabo tsa lipatlisiso ho fumana maikutlo a bareki ka kakaretso. 8. Karohano ea bareki: Ho ithuta ka mochine ho sebelisoa ho arola bareki ka lihlopha ho latela seo ba se ratang le boitšoaro ba bona, ho nolofalletsa likhamphani ho fetola boiteko ba tsona ba ho rekisa le ho eketsa ho kopanela ha bareki. 