<prompt> Hlalosa phapang lipakeng tsa ho ithuta ka mochini le mananeo a setso.nan  <response>: Instruction in English: Explain the differences between machine learning and traditional programming. . Response in English: Traditional programming and machine learning are distinct approaches to designing and developing computer programs. In traditional programming, the developer writes an algorithm that details specific instructions for the computer to execute. Given a particular input, the program processes it through the explicitly coded instructions and produces an output. The behavior of the program relies entirely on the developers initial design.Machine learning, on the other hand, changes this dynamic. Instead of being explicitly programmed, a machine learning algorithm learns from data to improve its results over time. The developer creates an algorithm that trains on a dataset. This algorithm identifies patterns in data, and learns to make predictions or decisions based on these patterns. The performance of the algorithm improves as it gains exposure to more data, enhancing its ability to find patterns and make accurate predictions.In summary, the key difference between traditional programming and machine learning is the way they process information to produce results. Traditional programming follows an explicitly defined set of instructions, while machine learning learns from data to refine its approach over time. . Response in Sesotho: Mananeo a setso le ho ithuta ka mochini ke mekhoa e ikhethileng ea ho rala le ho ntsetsapele mananeo a khomphutha. Lenaneong la setso, mohlahlami o ngola algorithm e hlalosang litaelo tse tobileng tsa hore komporo e phethe. Ha ho fanoe ka tlhahiso e itseng, lenaneo le e sebetsa ka litaelo tse hlakileng tse ngotsoeng ka mokhoa o hlakileng le ho hlahisa tlhahiso. Boitšoaro ba lenaneo bo itšetlehile ka ho feletseng ho moralo oa pele oa moqapi. Ho ithuta ka mochini, ka lehlakoreng le leng, ho fetola matla ana. Sebakeng sa ho hlophisoa ka mokhoa o hlakileng, algorithm ea ho ithuta ka mochini e ithuta ho tsoa ho data ho ntlafatsa liphetho tsa eona ha nako e ntse e ea. Moqapi o etsa algorithm e koetlisang dataset. Algorithm ena e supa lipaterone ho data, me e ithuta ho etsa likhakanyo kapa liqeto tse ipapisitseng le lipaterone tsena. Tsebetso ea algorithm ea ntlafala ha e ntse e tsoela pele ho fumana lintlha tse ngata, e matlafatsa bokhoni ba eona ba ho fumana mekhoa le ho bolela esale pele ka nepo. Ka kakaretso, phapang ea bohlokoa lipakeng tsa mananeo a setso le ho ithuta ka mochini ke tsela eo ba sebetsanang le tlhahisoleseling ho hlahisa sephetho. Mananeo a tloaelehileng a latela litaelo tse hlalositsoeng ka ho hlaka, ha thuto ea mochine e ithuta ho tsoa ho data ho ntlafatsa mokhoa oa eona ha nako e ntse e ea. 