<prompt> Hlalosa hore na li-algorithms tsa ho ithuta ka mochini li sebelisoa joang ho bona litšebelisano tsa bomenemene.nan  <response>: Instruction in English: Describe how machine learning algorithms are used to detect fraudulent transactions. . Response in English: Machine learning algorithms are widely used to detect fraudulent transactions in banking and financial systems. These algorithms employ sophisticated math models and analyze large volumes of data to identify patterns that are most likely to be associated with fraudulent activities. Various machine learning techniques such as supervised learning, unsupervised learning, and deep learning are used to build fraud detection models.In supervised learning, the algorithm is trained on labeled data, which includes both fraudulent and non-fraudulent transactions, to build a predictive model. The training data could include various features, such as the type and frequency of transactions, location, and time of purchase. The model is then used to predict whether a new transaction is fraudulent or not.Unsupervised learning algorithms, on the other hand, do not require labeled data. Instead, these algorithms analyze the data to identify clusters, patterns, and relationships that are indicative of fraudulent behavior. For instance, an unsupervised algorithm could detect outliers or transactions that are significantly different from the normal behavior of a user and flag them as suspicious.Deep learning algorithms, such as neural networks, can be used to detect more complex and subtle patterns associated with fraudulent transactions. These algorithms work by combining multiple layers of artificial neurons that learn and extract features from the data to make predictions.Machine learning algorithms provide a powerful tool for detecting fraudulent transactions. They can analyze large volumes of data in real-time and flag suspicious transactions with high accuracy. Additionally, these algorithms can adapt and learn from new data, making them effective at detecting new types of fraud. . Response in Sesotho: Li-algorithms tsa ho ithuta ka mochini li sebelisoa haholo ho bona litšebelisano tsa bolotsana litsamaisong tsa libanka le tsa lichelete. Li-algorithms tsena li sebelisa mefuta e tsoetseng pele ea lipalo le ho sekaseka palo e kholo ea data ho tseba mekhoa eo ho ka etsahalang hore e amahanngoa le mesebetsi ea bomenemene. Ho sebelisoa mekhoa e fapaneng ea ho ithuta ka mochini joalo ka ho ithuta ho hlokometsoeng, ho ithuta ho sa hlokomeloe, le ho ithuta ka botebo li sebelisoa ho theha mefuta ea ho lemoha bomenemene. Thutong e hlokometsoeng, algorithm e koetlisetsoa ho data e ngolisitsoeng, e kenyelletsang litšebelisano tsa bolotsana le tse sa qhekellang, ho aha mohlala oa ho bolela esale pele. Lintlha tsa koetliso li ka kenyelletsa likarolo tse fapaneng, joalo ka mofuta le makhetlo a litšebelisano, sebaka le nako ea theko. Joale mohlala o sebelisoa ho bolela esale pele hore na khoebo e ncha ke ea bolotsana kapa che. Ka lehlakoreng le leng, li-algorithms tse sa laoleheng tsa ho ithuta ha li hloke data e ngolisitsoeng. Ho e-na le hoo, li-algorithms tsena li hlahloba lintlha ho tseba lihlopha, mekhoa le likamano tse bontšang boitšoaro ba bolotsana. Mohlala, algorithm e sa behoang leihlo e ka bona barekisi kapa mesebetsi e fapaneng haholo le boitsoaro bo tloaelehileng ba mosebelisi ebe e ba tšoaea e le tse belaetsang. Mekhoa ea ho ithuta e tebileng, joalo ka marang-rang a methapo ea kutlo, e ka sebelisoa ho bona mekhoa e rarahaneng le e poteletseng e amanang le lithekisetsano tsa bomenemene. Li-algorithms tsena li sebetsa ka ho kopanya mekhahlelo e mengata ea li-neurone tsa maiketsetso tse ithutang le ho ntša likarolo ho data ho etsa likhakanyo. Litaolo tsa ho ithuta ka mochini li fana ka sesebelisoa se matla sa ho lemoha litšebelisano tsa bomenemene. Ba khona ho sekaseka lintlha tse ngata ka nako ea nnete le ho etsa lipehelo tse belaetsang ka nepo e phahameng. Ho feta moo, li-algorithms tsena li ka ikamahanya le maemo le ho ithuta ho tsoa ho data e ncha, ea li etsa hore li atlehe ho lemoha mefuta e mecha ea bomenemene. 