<prompt> Hlalosa melemo e meli ea ho sebelisa ho ithuta ka mochini ho analytics ea data.nan  <response>: Instruction in English: Identify two benefits of using machine learning in data analytics. . Response in English: 1. Improved Efficiency and Accuracy: Machine learning has the ability to learn from previous experiences and optimize its processes, which results in improved efficiency and accuracy. In the context of data analytics, machine learning can be used to develop predictive models, automate data analysis and improve the accuracy of results. By incorporating machine learning algorithms into data analysis, businesses can quickly identify patterns and make accurate predictions. This helps businesses make informed decisions and drastically reduces the occurrence of errors and the time required for data analysis.2. Uncovering Hidden Insights: One of the major benefits of using machine learning in data analytics is its ability to uncover hidden patterns and insights in large volumes of data. Machine learning algorithms can sift through vast amounts of data and extract valuable insights from it. This makes it possible for businesses to gain a deeper understanding of their customers, markets, and operations. By identifying new opportunities, trends and relationships in data, businesses can make data-driven decisions and develop strategies that can give them a competitive edge. . Response in Sesotho: 1. Ntlafatso e Ntlafetseng le e Nepahetseng: Ho ithuta ka mochine ho na le bokhoni ba ho ithuta liphihlelo tse fetileng le ho ntlafatsa mekhoa ea eona, e leng se fellang ka katleho e ntlafetseng le ho nepahala. Boemong ba litlhahlobo tsa data, ho ithuta ka mochini ho ka sebelisoa ho hlahisa mefuta e lebelloang, ho iketsetsa tlhahlobo ea data le ho ntlafatsa ho nepahala ha liphetho. Ka ho kenyelletsa li-algorithms tsa ho ithuta ka mochini tlhahlobong ea data, likhoebo li ka khona ho tseba mekhoa le ho etsa likhakanyo tse nepahetseng. Sena se thusa likhoebo ho etsa liqeto tse nang le tsebo le ho fokotsa haholo ho hlaha ha liphoso le nako e hlokahalang bakeng sa tlhahlobo ea data. 2. Ho Senola Maikutlo a Patehileng: E ngoe ea melemo e meholo ea ho sebelisa mochine oa ho ithuta ho analytics ea data ke bokhoni ba eona ba ho senola mekhoa e patiloeng le kutloisiso ka bongata bo boholo ba data. Li-algorithms tsa ho ithuta ka mochini li ka hlahloba lintlha tse ngata le ho fumana lintlha tsa bohlokoa ho tsona. Sena se nolofalletsa likhoebo ho fumana kutloisiso e tebileng ea bareki ba bona, limmaraka le tsebetso. Ka ho tseba menyetla e mecha, mekhoa le likamano ho data, likhoebo li ka etsa liqeto tse tsamaisoang ke data le ho hlahisa maano a ka li fang monyetla oa tlholisano. 