<prompt> Hlalosa sebopeho sa data sa mantlha se sebelisoang bakeng sa algorithm ea ho ithuta mochininan  <response>: Instruction in English: Identify the primary data structure used for a machine learning algorithm . Response in English: There are several data structures that can be used to store data for a machine learning algorithm, depending on the nature of data and the algorithm employed. Typically, data is stored in a tabular form, where each row represents an instance or observation and each column represents a feature or attribute. This data structure is known as a two-dimensional array or a matrix. Many machine learning libraries, including scikit-learn and TensorFlow, have built-in tools for handling data in this format. Other commonly used data structures in machine learning include lists, dictionaries, and trees. . Response in Sesotho: Ho na le libopeho tse maloa tsa data tse ka sebelisoang ho boloka data bakeng sa algorithm ea ho ithuta mochini, ho latela mofuta oa data le algorithm e sebelisitsoeng. Ka tloaelo, data e bolokoa ka mokhoa oa tabular, moo mola o mong le o mong o emelang mohlala kapa tlhokomeliso mme kholomo ka ngoe e emela tšobotsi kapa tšobotsi. Sebopeho sena sa data se tsejoa e le sehlopha sa mahlakore a mabeli kapa matrix. Lilaebrari tse ngata tsa ho ithuta ka mochini, ho kenyeletsoa scikit-learn le TensorFlow, li na le lisebelisoa tse kenelletseng tsa ho sebetsana le data ka mokhoa ona. Mehaho e meng e sebelisoang hangata thutong ea mochini e kenyelletsa manane, lidikishinari le lifate. 