<prompt> Ka kopo, fana ka mathata a mabeli a ho sebelisa mekhoa ea ho ithuta ka mochininan  <response>: Instruction in English: Please provide two disadvantages of using machine learning algorithms . Response in English: 1. Limited Interpretability - Machine learning algorithms often act as a black box and it might be difficult to understand how the model has made a prediction or decision. This means that valuable insights into data relationships or correlations might be lost, as the algorithm simply makes predictions or decisions without providing any explanation. This lack of transparency and interpretation can make it hard for businesses or researchers to determine the effectiveness of the model or the validity of the results.2. Data quality and quantity issues - Machine learning algorithms relies heavily on the quality and quantity of the data provided to train the model. Poor data quality, such as inaccurate, inconsistent or irrelevant data, can result in inaccurate predictions and decisions. This is why its incredibly important to have good quality and properly validated data prior to training your model. Also, if there is not enough data available, the model may be overfitted to the existing data and may not generalize well to new data or situations. . Response in Sesotho: 1. Tlhaloso e Lekanyelitsoeng - Litekanyetso tsa ho ithuta ka mochini hangata li sebetsa joalo ka lebokose le letšo mme ho ka ba thata ho utloisisa hore na mohlala o entse ponelopele kapa qeto joang. Sena se bolela hore lintlha tsa bohlokoa mabapi le likamano tsa data kapa likhokahano li ka lahleha, kaha algorithm e etsa likhakanyo kapa liqeto ntle le ho fana ka tlhaloso. Ho hloka pepenene hona le tlhaloso ho ka etsa hore ho be thata ho likhoebo kapa bafuputsi ho fumana katleho ea mohlala kapa bonnete ba liphetho. 2. Mathata a boleng ba data le bongata - Mekhoa ea ho ithuta ka mochini e itšetlehile haholo ka boleng le bongata ba lintlha tse fanoeng ho koetlisa mohlala. Boleng bo fosahetseng ba data, joalo ka data e sa nepahalang, e sa lumellaneng kapa e sa sebetseng, e ka fella ka likhakanyo le liqeto tse fosahetseng. Ke ka lebaka leo ho leng bohlokoa haholo ho ba le data ea boleng bo holimo le e netefalitsoeng hantle pele o koetlisa mohlala oa hau. Hape, haeba ho se na lintlha tse lekaneng tse fumanehang, mohlala o ka na oa fetisetsoa ho feta data e teng me o ka na oa se ke oa akaretsa hantle ho data kapa maemo a macha. 