<prompt> Hlalosa hore na ho ithuta ka mochini ho sebelisoa joang tsamaisong ena.Sistimi e amohelang linomoro tse ngotsoeng ka letsoho.  <response>: Instruction in English: Describe how machine learning is used in this system. . Response in English: Machine learning is used in this system by allowing the computer to learn and improve its ability to recognize hand-written digits based on patterns identified in the input data. The machine learning algorithm is fed with a large dataset of hand-written digits, along with their corresponding labels, as its training data. This data is then processed and analyzed by the machine learning algorithm to identify the various features and characteristics that are unique to each digit.The machine learning algorithm uses techniques such as supervised learning to train a model that can accurately predict the digit represented in any given input image. At a basic level, this is done by identifying the pixels that are most commonly on or off in each digit and using this information to make predictions.Once the model is trained, the system uses this model to recognize new hand-written digits by extracting the relevant features from the input image and using the machine learning algorithm to make a prediction. The accuracy of the models prediction is highly dependent on the quality of the training data, as well as the sophistication of the machine learning algorithm.As the system is used over time, the machine learning algorithm may continue to improve its performance by incorporating feedback from users or by being exposed to additional training data. This allows the system to constantly adapt and improve its ability to accurately recognize hand-written digits. . Response in Sesotho: Ho ithuta ka mochini ho sebelisoa tsamaisong ena ka ho lumella komporo ho ithuta le ho ntlafatsa bokhoni ba eona ba ho lemoha linomoro tse ngotsoeng ka letsoho ho ipapisitse le lipaterone tse bontsitsoeng boitsebisong ba ho kenya. Algorithm ea ho ithuta ka mochini e feptjoa ka dataset e kholo ea linomoro tse ngotsoeng ka letsoho, hammoho le lileibole tse tsamaellanang le tsona, joalo ka data ea eona ea koetliso. Lintlha tsena li sebetsoa le ho hlahlobisisoa ke algorithm ea ho ithuta mochini ho tseba likarolo le litšobotsi tse fapaneng tse ikhethang ho nomoro ka ngoe. Mokhoa oa ho ithuta ka mochini o sebelisa mekhoa e joalo ka thuto e hlokometsoeng ho koetlisa mofuta o ka tsebang ho bolela esale pele ka nepo palo e emeloang setšoantšong sefe kapa sefe se kentsoeng. Boemong ba mantlha, sena se etsoa ka ho tsebahatsa lipikselse tse atisang ho buloa kapa ho tima nomorong ka ngoe le ho sebelisa tlhahisoleseling ho etsa likhakanyo. Hang ha mohlala o se o koetliselitsoe, tsamaiso e sebelisa mokhoa ona ho lemoha linomoro tse ncha tse ngotsoeng ka letsoho ka ho ntša likarolo tse amehang setšoantšong se kentsoeng le ho sebelisa algorithm ea ho ithuta mochine ho etsa ponelo-pele. Ho nepahala ha polelo ea mohlala ho itšetlehile haholo ka boleng ba lintlha tsa koetliso, hammoho le ho rarahana ha algorithm ea ho ithuta mochine. Ha sistimi e ntse e sebelisoa ha nako e ntse e ea, algorithm ea ho ithuta mochini e ka tsoela pele ho ntlafatsa tsebetso ea eona ka ho kenyelletsa maikutlo a tsoang ho basebelisi kapa ka ho pepesetsoa lintlha tse ling tsa koetliso. Sena se lumella sistimi hore e lule e ikamahanya le maemo le ho ntlafatsa bokhoni ba eona ba ho lemoha linomoro tse ngotsoeng ka letsoho ka nepo. 