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AI ML Course
Thibolola thata ya AI le machine learning mo botlhale jwa kgwebo ka Khoso ya rona ya AI ML e e tletseng. Ithute ka botlalo go tlhaloganya go latlhegela ke bareki, sekaseka go baakanya data pele ga e dirisiwa, mme o itse mekgwa ya go dira ditlhopha ka botlalo jaaka logistic regression le ditlhare tsa ditshwetso. Ithute go bona dintlha tse di ka dirisiwang, tokafatsa mekgwa, mme o dire dikgakololo tse di ikaegileng ka data. E tshwanela batho ba ba batlang go tokafatsa bokgoni jwa bone mo go kgobokanyeng data, go sekaseka mekgwa, le go bona gore ke bareki bafe ba ba ka tlogelang, khoso e e fana ka thuto e e mosola, ya maemo a a kwa godimo ka lobelo lwa gago.
- Ithute go fokotsa go latlhegelwa ke bareki: Sekaseka le go fokotsa ditlamorago tsa go latlhegelwa ke bareki mo katlegong ya kgwebo.
- Go baakanya data pele ga e dirisiwa: Somagana le boleng jo bo tlogetsweng le go lekanya dipopego gore di sekasekwe ka botlalo.
- Go dira mekgwa ya go bona se se tlaa diragalang: Dirisa logistic regression le ditlhare tsa ditshwetso go bona gore ke bareki bafe ba ba ka tlogelang.
- Go sekaseka mekgwa: Sekaseka boammaaruri, tlhomamo, go gakologelwa, le maduo a F1 ka botlalo.
- Tokafatsa mekgwa: Dirisa cross-validation le hyperparameter tuning go bona maduo a a botoka.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Thibolola thata ya AI le machine learning mo botlhale jwa kgwebo ka Khoso ya rona ya AI ML e e tletseng. Ithute ka botlalo go tlhaloganya go latlhegela ke bareki, sekaseka go baakanya data pele ga e dirisiwa, mme o itse mekgwa ya go dira ditlhopha ka botlalo jaaka logistic regression le ditlhare tsa ditshwetso. Ithute go bona dintlha tse di ka dirisiwang, tokafatsa mekgwa, mme o dire dikgakololo tse di ikaegileng ka data. E tshwanela batho ba ba batlang go tokafatsa bokgoni jwa bone mo go kgobokanyeng data, go sekaseka mekgwa, le go bona gore ke bareki bafe ba ba ka tlogelang, khoso e e fana ka thuto e e mosola, ya maemo a a kwa godimo ka lobelo lwa gago.
Elevify advantages
Develop skills
- Ithute go fokotsa go latlhegelwa ke bareki: Sekaseka le go fokotsa ditlamorago tsa go latlhegelwa ke bareki mo katlegong ya kgwebo.
- Go baakanya data pele ga e dirisiwa: Somagana le boleng jo bo tlogetsweng le go lekanya dipopego gore di sekasekwe ka botlalo.
- Go dira mekgwa ya go bona se se tlaa diragalang: Dirisa logistic regression le ditlhare tsa ditshwetso go bona gore ke bareki bafe ba ba ka tlogelang.
- Go sekaseka mekgwa: Sekaseka boammaaruri, tlhomamo, go gakologelwa, le maduo a F1 ka botlalo.
- Tokafatsa mekgwa: Dirisa cross-validation le hyperparameter tuning go bona maduo a a botoka.
Suggested summary
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