Machine Learning Beginner Course
What will I learn?
Bula ditsela tsa boitseanape jwa komputara ka thuto ya rona e e feletseng ya Bašwa, e e diretsweng batho ba ba dirang ka theknoloji ba ba tlhagafaletseng go tokafatsa bokgoni jwa bone. Ithute metheo ya boitseanape jwa komputara, sekaseka mekgwa ya go baakanya tshedimosetso, mme o ithute go dirisa mokgwa wa go sekaseka dilo ka go tlhamalalela (linear regression). Ithute go tlhaloganya maduo a ditsamaiso, go samagana le dintlha tse di tlhaelang, le go kwala dintlha tse di bonweng ka botlalo. Ka maikaelelo a go tsepamisa mogopolo mo go tsa botlhokwa, tsa maemo a a kwa godimo, thuto e e go thusa go dirisa dikgopolo tsa boitseanape jwa komputara mo maemong a botshelo jwa letsatsi le letsatsi ka botswerere. Ikakanye jaanong go fetola tiro ya gago.
Elevify advantages
Develop skills
- Ithute go baakanya tshedimosetso ka botswerere: Samagana le dintlha tse di tlhaelang mme o oketse boleng jwa dipopego.
- Sekaseka maduo a ditsamaiso: Sekaseka boammaaruri mme o tlhaloganye mathata le boleng jwa tsone.
- Dira dipatlisiso tsa go sekaseka tshedimosetso: Bona tshedimosetso ka matlho mme o dire tshekatsheko ya kgolagano.
- Thapisa le go sekaseka ditsamaiso: Kgaoganya tshedimosetso, thapisa ditsamaiso, mme o sekaseke bokgoni.
- Kwala dintlha tse di bonweng: Tlhagisa ditshwetso mme o kwale dipego tsa tshedimosetso tse di feletseng.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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