<prompt> Mphe mohlala oa bothata bo bonolo ba ho ithuta ka mochini.nan  <response>: Instruction in English: Give me an example of a simple machine learning problem. . Response in English: One simple example of a machine learning problem is predicting whether an email is spam or not. This is a binary classification problem where the algorithm is trained on a dataset containing examples of both spam and non-spam emails. The dataset is labeled, meaning that each example is marked as either spam or not-spam. During the training, the algorithm will analyze the attributes of each email, such as the sender, subject, content, and any attached files or links. Based on this analysis, the algorithm will learn to recognize patterns and features that are commonly associated with spam emails. Once trained, the algorithm can then be used to classify new incoming emails as either spam or not, allowing the user to quickly filter out unwanted messages. This is a simple yet practical example of how machine learning can be applied to solve a common problem. . Response in Sesotho: Mohlala o mong o bonolo oa bothata ba ho ithuta ka mochini ke ho bolela esale pele hore na lengolo-tsoibila ke spam kapa che. Ena ke bothata ba lihlopha tsa binary moo algorithm e koetliselitsoeng ho dataset e nang le mehlala ea li-imeile tsa spam le tseo e seng tsa spam. Lintlha li ngotsoe, ho bolelang hore mohlala o mong le o mong o tšoailoe joalo ka spam kapa eseng spam. Nakong ea thupelo, algorithm e tla sekaseka litšoaneleho tsa lengolo-tsoibila ka leng, joalo ka moromeli, sehlooho, litaba, le lifaele kapa likhokahano tse hoketsoeng. Ho ipapisitsoe le tlhahlobo ena, algorithm e tla ithuta ho lemoha mekhoa le likarolo tseo hangata li amanang le li-imeile tsa spam. Hang ha e se e koetlisitsoe, algorithm e ka sebelisoa ho hlophisa li-imeile tse ncha tse kenang e le spam kapa che, e leng se lumellang mosebedisi ho potlakela ho sefa melaetsa e sa batleheng. Ona ke mohlala o bonolo empa o sebetsa oa kamoo ho ithuta ka mochini ho ka sebelisoang ho rarolla bothata bo tloaelehileng. 