<prompt> Hlahisa mohlala oa kamoo theknoloji e fanoeng e sebetsang kateng.Ho Ithuta ka Mechini  <response>: Instruction in English: Generate an example of how the given technology works. . Response in English: Machine learning is a type of artificial intelligence that allows computer systems to learn and improve their performance for a specific task without being explicitly programmed. It uses algorithms and statistical models to find patterns in data and make predictions or decisions. Heres an example of how it can work:Suppose a software company wants to predict the sales for the next quarter based on their previous sales records. They would use machine learning for this task. First, the companys data scientists gather historical sales data and prepare it for analysis. They clean and structure the data, removing any inconsistencies, redundancies or errors.Next, the data is fed into a machine learning algorithm, which divides it into two parts: a training data set and a testing data set. The training data set is used to build the model, while the testing data set is used to evaluate the models accuracy.The algorithm then analyzes the training data, searching for patterns and relationships between the various data points. It could discover, for example, that sales increase during certain months, holidays or promotional events. The algorithm uses this information to create a model that can predict future sales.Once the model is built, the data scientists evaluate its accuracy, using the testing data set. If the model performs well, it is deployed and used to make predictions about the companys future sales. If the model doesnt perform well, the data scientists refine it, using different algorithms, techniques or parameters until the desired level of accuracy is achieved.Over time, as more sales data becomes available, the model is updated, learning from the new data and improving its performance. This is the essence of machine learning - the ability to learn from data and improve over time. . Response in Sesotho: Ho ithuta ka mochini ke mofuta oa bohlale ba maiketsetso bo lumellang litsamaiso tsa likhomphutha ho ithuta le ho ntlafatsa tsebetso ea tsona bakeng sa mosebetsi o itseng ntle le ho hlophisoa ka mokhoa o hlakileng. E sebelisa li-algorithms le mehlala ea lipalo ho fumana lipaterone ho data le ho etsa likhakanyo kapa liqeto. Mohlala ke ona oa kamoo e ka sebetsang kateng: Ha re re khamphani ea software e batla ho bolela esale pele thekiso ea kotara e tlang ho latela lirekoto tsa bona tsa pele tsa thekiso. Ba ne ba tla sebelisa ho ithuta ka mochini bakeng sa mosebetsi ona. Taba ea pele, bo-rasaense ba data ba khamphani ba bokella data ea nalane ea thekiso mme ba e lokisetsa tlhahlobo. Ba hloekisa le ho hlophisa lintlha, ba tlosa ho se lumellane hofe kapa hofe, ho fokotseha kapa liphoso. Ka mora moo, data e feptjoa ka algorithm ea ho ithuta mochine, e e arolang likarolo tse peli: setsi sa boitsebiso ba koetliso le sete ea data ea teko. Seteishene sa data sa koetliso se sebelisetsoa ho aha mohlala, ha sete ea data ea liteko e sebelisetsoa ho hlahloba ho nepahala ha mohlala. Joale algorithm e hlahloba lintlha tsa koetliso, ho batla mekhoa le likamano pakeng tsa lintlha tse fapaneng tsa lintlha. E ka fumana, mohlala, hore thekiso e eketseha ka likhoeli tse itseng, matsatsi a phomolo kapa liketsahalo tsa papatso. Algorithm e sebelisa tlhahisoleseding ena ho etsa mohlala o ka bolelang esale pele thekiso ea nakong e tlang. Hang ha mohlala o hahiloe, bo-rasaense ba data ba hlahloba ho nepahala ha bona, ba sebelisa sete ea data ea teko. Haeba mohlala o sebetsa hantle, o sebelisoa mme o sebelisetsoa ho bolela esale pele mabapi le thekiso ea nako e tlang ea khamphani. Haeba mohlala o sa sebetse hantle, bo-rasaense ba data ba bo ntlafatsa, ba sebelisa li-algorithms, mekhoa kapa mekhoa e fapaneng ho fihlela boemo bo lakatsehang ba ho nepahala bo finyelloa. Ha nako e ntse e ea, ha lintlha tse ngata tsa thekiso li ntse li fumaneha, mohlala o nchafatsoa, o ithuta ho tloha boitsebisong bo bocha le ho ntlafatsa tshebetso ea oona. Sena ke motheo oa ho ithuta ka mochini - bokhoni ba ho ithuta ho tsoa ho data le ho ntlafatsa ha nako e ntse e ea. 