<prompt> Thathamisa litsela tse tharo tseo mohlala oa ho ithuta ka mochine o ka sebelisoang molemong oa lipalangoang tsa sechaba.nan  <response>: Instruction in English: List three ways that a machine learning model could be used to benefit public transportation. . Response in English: 1. Predictive Maintenance: Machine learning models can be trained to predict equipment malfunctions and schedule maintenance accordingly. This can help prevent system breakdowns, delays or disruption of service, and improve passenger experience.2. Route Optimization and Demand Prediction: Machine learning can analyze historical data to predict the demand for specific routes at certain times or events. By doing so, the transit authorities can optimize the routes for better efficiency and reduce wait times for passengers. 3. Real-time Traffic Management: By using machine learning algorithms that analyze real-time traffic conditions, public transportation can adapt to any disruptions or changes. This could include suggestions for rerouting, schedule adjustment, and capacity management. Having a system that is responsive to real-time changes can help provide a reliable and dynamic experience for riders. . Response in Sesotho: 1. Tlhokomelo ea Predictive: Mehlala ea ho ithuta ka mochini e ka koetlisetsoa ho bolela esale pele ho se sebetse hantle ha thepa le ho hlophisa tlhokomelo ka nepo. Sena se ka thusa ho thibela ho senyeha ha sistimi, tieho kapa ho sitisoa ha litšebeletso, le ho ntlafatsa boiphihlelo ba bapalami. 2. Katoloso ea Tsela le Polelo ea Tlhokahalo: Ho ithuta ka mochine ho ka hlahloba lintlha tsa histori ho bolela esale pele tlhokahalo ea litsela tse itseng ka linako tse itseng kapa liketsahalo. Ka ho etsa joalo, balaoli ba lipalangoang ba ka ntlafatsa litsela bakeng sa tsebetso e ntle le ho fokotsa nako ea ho leta bakeng sa bapalami. 3. Taolo ea Sephethephethe ea Nako ea Nete: Ka ho sebelisa mekhoa ea ho ithuta ka mochine e hlahlobang maemo a nako ea sebele ea sephethephethe, lipalangoang tsa sechaba li ka ikamahanya le litšitiso leha e le life kapa liphetoho. Sena se ka kenyelletsa litlhahiso tsa ho fetola tsela, ho lokisoa ha linako, le taolo ea bokhoni. Ho ba le sistimi e arabelang liphetoho tsa nako ea nnete ho ka thusa ho fana ka boiphihlelo bo tšepahalang le bo matla bakeng sa bapalami. 