<prompt> Hlalosa mokhoa o teng hona joale lefapheng la ho Ithuta ka Mechini.nan  <response>: Instruction in English: Describe a current trend in the field of Machine Learning. . Response in English: One current trend in the field of Machine Learning is the increasing use of deep learning techniques. Deep learning, a subset of machine learning, encompasses algorithms known as neural networks, which can learn and improve on their own. This trend is motivated by the growing availability of large amounts of data and the advancements in computing power and algorithms, which makes it possible for computers to train deeper and more complex models. Deep learning techniques have been particularly successful in areas such as image and speech recognition, natural language processing, computer vision, and predictive analytics.Another factor driving this trend is the growing prevalence of unstructured data, such as text, images, and voice. Traditional machine learning methods have difficulty handling this type of data, but deep learning techniques can process and analyze it with high levels of accuracy.Overall, the trend towards deep learning reflects the growing potential of machine learning to solve complex problems and handle large amounts of data, and the increasing importance of these capabilities in our data-driven world. . Response in Sesotho: Mokhoa o mong oa hajoale lefapheng la ho Ithuta ka Mechini ke tsebeliso e ntseng e eketseha ea mekhoa e tebileng ea ho ithuta. Ho ithuta ho tebileng, karolo e nyane ea ho ithuta ka mochini, e kenyelletsa li-algorithms tse tsejoang e le marang-rang a neural, a ka ithutang le ho ntlafatsa a le mong. Mokhoa ona o susumetsoa ke ho ba teng ho ntseng ho eketseha ha lintlha tse ngata le tsoelo-pele ea matla a khomphieutha le li-algorithms, e leng se nolofalletsang likhomphieutha ho koetlisa mehlala e tebileng le e rarahaneng. Mekhoa ea ho ithuta e tebileng e atlehile ka ho khetheha libakeng tse kang ho lemoha litšoantšo le puo, ho sebetsana le puo ea tlhaho, pono ea khomphieutha, le li-analytics tsa ho bolela esale pele. Ntho e ngoe e susumetsang mokhoa ona ke ho ata ha data e sa hlophisoang, joalo ka mongolo, litšoantšo le lentsoe. Mekhoa e tloaelehileng ea ho ithuta mochine e na le bothata ba ho sebetsana le mofuta ona oa boitsebiso, empa mekhoa e tebileng ea ho ithuta e ka sebetsana le ho e hlahloba ka ho nepahala ho phahameng. Ka kakaretso, mokhoa o lebisang thutong e tebileng o bonahatsa bokhoni bo ntseng bo eketseha ba ho ithuta mochine ho rarolla mathata a rarahaneng le ho sebetsana le lintlha tse ngata, le bohlokoa bo ntseng bo eketseha ba bokhoni bona lefatšeng la rona le tsamaisoang ke data. 