AI Engineering Course
What will I learn?
Tsholetsa tiro ya gago mo boranyaning jwa segompieno ka Kosi ya rona ya Boenjenere jwa Botlhale jwa Maitirelo (AI), e e diretsweng bomankge ba thekenoloji ba ba tlhagafaletseng go itse AI ka botlalo. Ithute ka botlalo mekgwa ya go sekaseka dipopego tsa maitirelo jaaka go gakologelwa (Recall), F1-Score, le cross-validation. Tokafatsa bokgoni jwa gago jwa go kwala ditokomane ka manontlhotlho mme o sekaseke ditsela tsa go dira gore metšhini e ithute ka boyone go bona gore ke batho bafe ba ba ka tlogelang tiro, go akaretsa ditlhopha tsa ditshwetso (decision trees) le logistic regression. Nna le bokgoni mo go sekasekeng tshedimosetso, go fetolela dipopego mo khoutong, le go tokafatsa ditsela tsa go dira dipopego. Kopanela le rona go fetola tshedimosetso go nna dintlha tse di ka dirisiwang go tsweledisa kgolo mo tirong ya gago.
Elevify advantages
Develop skills
- Ithute go sekaseka dipopego tsa maitirelo: Tokafatsa go nepagala ka go gakologelwa (Recall), F1-Score, le Precision.
- Kwala ditokomane ka manontlhotlho: Buelela ditshwetso le go tlhalosa dipholo ka phepafalo.
- Bona gore ke batho bafe ba ba ka tlogelang tiro: Dirisa Ditlhopha tsa Ditshwetso (Decision Trees), Dikgwa tse di sa Rulaganngwang (Random Forests), le Logistic Regression.
- Baakanya tshedimosetso: Dira dipatlisiso tsa tshimologo le go rarabolola tshedimosetso e e tlhokafalang ka bonako.
- Tokafatsa dipopego: Dirisa mekgwa ya kopano (ensemble methods) le go baakanya di-hyperparameter ka botlalo.
Suggested summary
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