<prompt> Ho Ithuta ka Tebile ho fapane joang le ho Ithuta ka Mechini?nan  <response>: Instruction in English: How is Deep Learning different from Machine Learning? . Response in English: Deep Learning is a subset of Machine Learning, which is essentially a neural network with three or more layers. These neural networks attempt to simulate the behavior of the human brainalbeit far from matching its abilityby allowing the computer to learn from data, just like how we learn from experience.The difference between Deep Learning and Machine Learning is mostly in the type of problems solved and the approaches used to solve those problems. One of the main differences between Deep Learning and Machine Learning is their layers. Machine Learning algorithms are usually shallow and not more than two layers. While Deep Learning algorithms contain three or more layers, and are therefore usually much more sophisticated than Machine Learning algorithms.Moreover, Deep Learning requires more data than Machine Learning to reach its full potential. This is because Deep Learning algorithms has more processing power and can learn increasingly complex behaviors as it receives more data. Machine Learning algorithms, on the other hand, has its limitations on how much it can learn from the data.Finally, the tasks that can be accomplished with Deep Learning are much broader than those of Machine Learning. While Machine Learning is great for tasks such as analyzing data, prediction and providing recommendations, Deep Learning can accomplish tasks such as image recognition, speech recognition, and natural language processing.In summary, Deep Learning is a subset of Machine Learning that solves more complex problems and requires more data to do so. Machine Learning algorithms are usually shallower than Deep Learning algorithms, and can be limited in how much they can learn from the data. . Response in Sesotho: Ho Ithuta ho Tebileng ke karoloana ea ho Ithuta ka Mochini, eo ha e le hantle e leng marang-rang a methapo e nang le likarolo tse tharo kapa ho feta. Marang-rang ana a methapo ea kutlo a leka ho etsisa boitšoaro ba boko ba mothole hoja bo le hōle le ho lumellana le matla a bonaka ho lumella khomphieutha hore e ithute ho tsoa boitsebisong, feela joalokaha re ithuta ho tsoa phihlelong. Phapang lipakeng tsa ho Ithuta ho Tebileng le ho Ithuta ka Mechini hangata ke mofuta oa mathata a rarolloang le mekhoa e sebelisoang ho rarolla mathata ao. Phapang e ngoe ea mantlha lipakeng tsa ho Ithuta ka Tebile le ho Ithuta ka Mochini ke mekhahlelo ea tsona. Li-algorithms tsa ho Ithuta ka Mochini hangata ha li na botebo ebile ha li fete mekhahlelo e meli. Le hoja li-algorithms tsa ho Ithuta ho Tebileng li na le likarolo tse tharo kapa ho feta, me ka hona hangata li rarahane ho feta li-algorithms tsa ho Ithuta ka Mochini. Ho feta moo, Thuto e Tebileng e hloka lintlha tse ngata ho feta ho Ithuta ka Mochini ho fihlela bokhoni ba eona bo felletseng. Lebaka ke hobane li-algorithms tsa ho Ithuta ka botebo li na le matla a mangata a ho sebetsa me li ka ithuta mekhoa e rarahaneng le ho feta ha li ntse li fumana lintlha tse ngata. Ka lehlakoreng le leng, li-algorithms tsa ho Ithuta tsa Mochini li na le meeli ea hore na li ka ithuta bokae ho data. Qetellong, mesebetsi e ka finyelloang ka Thuto e Tebileng e pharaletse ho feta ea ho Ithuta ka Mechini. Le hoja ho Ithuta ka Mochini ho le molemo bakeng sa mesebetsi e kang ho hlahloba lintlha, ho bolela esale pele le ho fana ka litlhahiso, Thuto e Tebileng e ka finyella mesebetsi e kang ho lemoha litšoantšo, ho lemoha puo, le ho sebetsana le puo ea tlhaho. Ka kakaretso, ho Ithuta ho Tebileng ke karoloana ea Thuto ea Mochini e rarollang mathata a rarahaneng le ho hloka lintlha tse ngata ho etsa joalo. Mekhoa ea ho Ithuta ka Mechini hangata ha e na botebo ho feta ea Deep Learning algorithms, me e ka lekanyetsoa hore na ba ka ithuta ho hongata hakae ho data. 