<prompt> Ngola lisebelisoa tse tharo tse tloaelehileng tsa ho ithuta ka mochini licheleteng.nan  <response>: Instruction in English: List three common uses for machine learning in finance. . Response in English: 1. Fraud Detection: Machine learning algorithms can be trained to identify and flag fraudulent activities in real-time, helping financial institutions detect and prevent fraudulent transactions.2. Credit Risk Assessment: Machine learning can be used to assess the creditworthiness of loan applicants based on their historical financial data, credit scores, and other relevant information, and predict their likelihood of defaulting on a loan.3. Stock Market Predictions: Financial institutions often use machine learning algorithms to analyze large datasets, including historical market data, trends, and news, to predict stock prices or market trends, and make informed investment decisions. . Response in Sesotho: 1. Ho Fumana Bomenemene: Mekhoa ea ho ithuta ka mochine e ka koetlisetsoa ho tseba le ho tšoaea liketso tsa bolotsana ka nako ea sebele, ho thusa mekhatlo ea lichelete ho lemoha le ho thibela litšebelisano tsa bolotsana. 2. Tekolo ea Kotsi ea Mokitlane: Ho ithuta ka mochini ho ka sebelisoa ho lekola ho tšoaneleha ha bakopi ho latela lintlha tsa bona tsa nalane tsa lichelete, lintlha tsa mekitlane, le lintlha tse ling tse amehang, le ho bolela esale pele monyetla oa ho hloleha ho alima chelete. 3. Lipolelo-pele tsa Mmaraka oa Lichelete: Hangata mekhatlo ea lichelete e sebelisa mekhoa ea ho ithuta ka mochine ho hlahloba li-dataset tse kholo, ho kenyelletsa le lintlha tsa histori tsa maraka, mekhoa le litaba, ho bolela esale pele litheko tsa thepa kapa mekhoa ea maraka, le ho etsa liqeto tse nepahetseng tsa lichelete. 