<prompt> Thathamisa melemo ea ho Ithuta ka Mechini ha ho bapisoa le mananeo a khale.nan  <response>: Instruction in English: List the advantages of Machine Learning compared to traditional programming. . Response in English: 1. Adaptability: One of the biggest advantages of machine learning is its ability to adapt to changing circumstances. Traditional programming involves specifying a set of rules for the computer to follow. If the rules or circumstances change, the programmer must modify the code. Machine learning systems, on the other hand, can learn from new data and adjust their behavior.2. Better Results with large amount of data: Machine Learning algorithms are ideal for dealing with large data sets. The more data a machine learning system can process, the more accurate its predictions will be. Traditional programming, in contrast, can struggle to deal with large data sets and may require a programmer to manually modify the code to handle new data.3. Performance Improvement: Machine Learning allows systems to improve over time. As the system processes data, it learns and can make better decisions. Traditional programming relies on the programmer to update and improve the system.4. Automation: Machine Learning makes it possible to automate tasks that are difficult or impossible to automate using traditional programming techniques. For example, identifying objects in images, transcribing speech to text, and recommending products to customers.5. Complex Decision Making: Machine Learning algorithms can process a large amount of data and make complex decisions based on that data. Traditional programming techniques would require the programmer to specify each step that the system should take to make a decision. This can be difficult or impossible for complex problems.6. Better Predictions: Machine Learning algorithms can analyze data to identify patterns and make predictions based on those patterns. This allows systems to make predictions that would be difficult or impossible for a human programmer to make. This makes machine learning ideal for forecasting, anomaly detection, and recommendation systems. . Response in Sesotho: 1. Ho ikamahanya le maemo: E ngoe ea melemo e meholo ea ho ithuta ka mochine ke bokhoni ba eona ba ho ikamahanya le maemo a fetohang. Lenaneo la setso le kenyelletsa ho hlakisa melao e itseng eo komporo e lokelang ho e latela. Haeba melao kapa maemo a fetoha, moqapi o tlameha ho fetola khoutu. Litsamaiso tsa ho ithuta ka mochini, ka lehlakoreng le leng, li ka ithuta ho data e ncha le ho fetola boitšoaro ba tsona. 2. Liphetho tse Betere tse nang le lintlha tse ngata: Li-algorithms tsa ho Ithuta Mochine li loketse ho sebetsana le lihlopha tse kholo tsa data. Ha sistimi ea ho ithuta ka mochini e ka sebetsana le lintlha tse ngata, likhakanyo tsa eona li tla nepahala haholoanyane. Mananeo a setso, ka lehlakoreng le leng, a ka thatafalloa ho sebetsana le li-data tse kholo me a ka hloka hore moqapi oa lenaneo a fetole khoutu ka letsoho ho sebetsana le data e ncha. 3. Ntlafatso ea Tsebetso: Thuto ea Mochini e lumella litsamaiso hore li ntlafatse ha nako e ntse e ea. Ha sistimi e ntse e sebetsana le data, e ithuta mme e ka etsa liqeto tse ntle. Lenaneo la setso le itšetlehile ka moqapi oa lenaneo ho ntlafatsa le ho ntlafatsa tsamaiso. 4. Boiketsetso: Ho Ithuta ka Mochini ho etsa hore ho khonehe ho iketsetsa mesebetsi e thata kapa e ke keng ea khoneha ho sebelisa mekhoa e tloaelehileng ea mananeo. Mohlala, ho tsebahatsa lintho tse litšoantšong, ho ngola puo ho ea ho mongolo, le ho khothaletsa lihlahisoa ho bareki. 5. Ho Etsa Liqeto Tse Thata: Li-algorithms tsa ho Ithuta ka Mochini li ka sebetsana le palo e kholo ea data le ho etsa liqeto tse rarahaneng tse thehiloeng ho data eo. Mekhoa ea setso ea ho etsa mananeo e tla hloka hore moetsi oa lenaneo a hlalose mohato o mong le o mong oo sistimi e lokelang ho o nka ho etsa qeto. Sena se ka ba thata kapa ha se khonehe bakeng sa mathata a rarahaneng. 6. Lipolelo Tse Molemo: Li-algorithms tsa ho Ithuta Mochini li ka hlahloba lintlha ho khetholla mekhoa le ho etsa likhakanyo tse thehiloeng ho mekhoa eo. Sena se lumella litsamaiso ho etsa likhakanyo tse ka bang thata kapa tse ke keng tsa etsahala ho motho ea etsang mananeo. Sena se etsa hore ho ithuta ka mochini ho lokele ho bolela esale pele, ho lemoha ka mokhoa o sa tloaelehang, le litsebetso tsa likhothaletso. 