ML Engineering Course
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.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
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
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You’ll be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.