<prompt> Hlalosa mokhoa oa vectorization.nan  <response>: Instruction in English: Define the process of vectorization. . Response in English: Vectorization is the process of converting an algorithm or a data set from operating on a single value at a time to operating on a entire set of values or data points at once. This process can greatly improve performance when dealing with large amounts of data, as it takes advantage of the parallel processing capabilities of modern computers.Vectorization is commonly used in machine learning algorithms, where large data sets are processed to generate models for classification or regression. In this case, the data points are converted into vectors or arrays, allowing for the use of mathematical operations such as dot products, norms, and linear algebra operations to be performed much faster.In summary, vectorization is an important technique that speeds up computing time by performing multiple operations simultaneously, rather than sequentially. . Response in Sesotho: Vectorization ke mokhoa oa ho fetola algorithm kapa sete ea data ho tloha ho sebetsa ka boleng bo le bong ka nako e le ngoe ho sebetsa holima sehlopha sohle sa litekanyetso kapa lintlha tsa data hang-hang. Tsebetso ena e ka ntlafatsa haholo tsebetso ha e sebetsana le lintlha tse ngata, kaha e nka monyetla ka bokhoni ba tsebetso e tsoanang ea likhomphutha tsa morao-rao. Vectorization e atisa ho sebelisoa ho li-algorithms tsa ho ithuta ka mochine, moo lihlopha tse kholo tsa data li sebetsoang ho hlahisa mefuta ea ho arola kapa ho fokotseha. Tabeng ena, lintlha tsa data li fetoloa li-vectors kapa li-arrays, tse lumellang hore tsebeliso ea lipalo tse kang lihlahisoa tsa matheba, litloaelo le linear algebra li etsoe ka potlako haholo. Ka kakaretso, vectorization ke mokhoa oa bohlokoa o potlakisang nako ea khomphieutha ka ho etsa mesebetsi e mengata ka nako e le ngoe, ho e-na le ho latellana. 