ML Engineering Course
Ithute dintlha tsa botlhokwa tsa boenjiniara jwa machine learning ka Kosi ya rona e e tletseng ya Boenjiniara jwa ML. E diretswe batho ba ba dirang mo go tsa theknoloji, kosi e e akaretsa sengwe le sengwe go tloga ka go kokoanya data le go e baakanya go ya go thapiso ya model, go e sekaseka, le go e tsenya mo tirisong. Ithute ka botlalo ka ditsamaiso tsa go rotloetsa, sekaseka di-algorithm tsa machine learning, mme o ithute go lomaganya ditshupo tsa nako ya mmatota le dipolanete tsa e-commerce. Bona bokgoni jo bo ka dirisiwang mo go godiseng, go kwala ditokomane le go bega, go netefatsa gore o na le didirisiwa tsa go dira dilo tsa mmatota.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Ithute dintlha tsa botlhokwa tsa boenjiniara jwa machine learning ka Kosi ya rona e e tletseng ya Boenjiniara jwa ML. E diretswe batho ba ba dirang mo go tsa theknoloji, kosi e e akaretsa sengwe le sengwe go tloga ka go kokoanya data le go e baakanya go ya go thapiso ya model, go e sekaseka, le go e tsenya mo tirisong. Ithute ka botlalo ka ditsamaiso tsa go rotloetsa, sekaseka di-algorithm tsa machine learning, mme o ithute go lomaganya ditshupo tsa nako ya mmatota le dipolanete tsa e-commerce. Bona bokgoni jo bo ka dirisiwang mo go godiseng, go kwala ditokomane le go bega, go netefatsa gore o na le didirisiwa tsa go dira dilo tsa mmatota.
Elevify advantages
Develop skills
- Tsenya di-model mo tirisong: Ithute go godisa le go dira ditshupo tsa nako ya mmatota mo tirisong.
- Aga ditsamaiso tsa go rotloetsa: Sekaseka mefuta le ditsela tsa go di dirisa mo e-commerce.
- Diragatsa di-algorithm tsa ML: Dirisa mekgwa e e kopakopaneng, e e ikaegileng ka diteng le e e dirisanang.
- Thapisa le go sekaseka di-model: Ithute dipalo tsa precision, recall le F1-score.
- Baakanya data: Lemoga metswedi, encode, normalize, mme o samagane le data e e tlogetsweng.
Suggested summary
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