<prompt> Hlalosa karolo ea ho ithuta ka mochini ho iketsetsanan  <response>: Instruction in English: Describe the role of machine learning in automation . Response in English: Machine learning is a subset of artificial intelligence that utilizes algorithms that automatically improve over time through the use of data and experience. It plays a crucial role in automation by providing systems the ability to learn and adapt their actions without being explicitly programmed, which reduces human intervention.In automation, machine learning is used to develop models that can predict various outcomes and improve process efficiency. For example, machine learning algorithms can be trained on past data to recognize and classify images, predict customer behavior, or detect anomalies in a system. This intelligence then allows the automation of processes, such as image recognition or fraud detection.Machine learning can also enhance the decision-making process in automation. These systems can use data to generate predictions or make recommendations, which can then be automated. For instance, algorithms can be used to optimize inventory management, predicting the need for restocking, and automating the replenishment process.Therefore, machine learnings ability to make data-driven predictions and decisions is a critical component in the automation of several processes, enabling systems to operate more intelligently and efficiently. . Response in Sesotho: Ho ithuta ka mochini ke karoloana ea bohlale ba maiketsetso bo sebelisang li-algorithms tse ntlafalang ha nako e ntse e ea ka tšebeliso ea data le boiphihlelo. E na le karolo ea bohlokoa ho li-automation ka ho fana ka litsamaiso bokhoni ba ho ithuta le ho ikamahanya le liketso tsa tsona ntle le ho hlophisoa ka mokhoa o hlakileng, e leng ho fokotsang ho kenella ha batho. Ho li-automation, ho ithuta ka mochini ho sebelisoa ho ntsetsapele mefuta e ka bolelang liphetho tse fapaneng le ho ntlafatsa tsebetso ea tsebetso. Ka mohlala, mekhoa ea ho ithuta ka mochine e ka koetlisoa ho data ea nakong e fetileng ho lemoha le ho arola litšoantšo, ho bolela esale pele boitšoaro ba bareki, kapa ho lemoha liphoso tsamaisong. Bohlale bona bo lumella ho iketsetsa litsebetso, joalo ka ho lemoha litšoantšo kapa ho lemoha bomenemene. Ho ithuta ka mochini le hona ho ka ntlafatsa tsebetso ea ho etsa liqeto ka boitsoaro. Lisistimi tsena li ka sebelisa data ho hlahisa likhakanyo kapa ho etsa likhothaletso, tse ka etsoang ka boiketsetso. Mohlala, li-algorithms li ka sebelisoa ho ntlafatsa taolo ea thepa, ho bolela esale pele tlhoko ea ho khutlisa, le ho iketsetsa tsebetso ea ho tlatsa. Ka hona, bokhoni ba ho ithuta ka mochini ba ho etsa likhakanyo le liqeto tse tsamaisoang ke data ke karolo ea bohlokoa ho iketsetsa litsebetso tse maloa, ho nolofalletsang litsamaiso ho sebetsa ka bohlale le ka nepo. 