Machine Learning Engineering Course
What will I learn?
Oketsa bokgoni jwa gago jwa Business Intelligence ka Kopo ya rona ya Boenjiniere jwa Machine Learning. Ithute ka botlalo ka go bona dintlha go tswa mo dinakong tse di fitileng, ithute go tlhopha di-algorithm tse di siameng, mme o itsenyeletse thata mo mekgweng ya go baakanya data pele ga e dirisiwa. Nonotsha bokgoni jwa gago jwa go tlhama ditshwantsho tse di kgatlhang le go kwala mekgwa e e dirisitsweng. Tokafatsa mefuta ka go dirisa hyperparameter tuning le feature engineering. Nna le boitseanape mo ditharabololong tse di ka oketsegang o dirisa ditirelo tse di ikaegileng ka maru le distributed computing. Kopo e e go thusa go fetola data go nna dintlha tse di ka dirisiwang ka bokgabane le ka thelelo.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute ka botlalo go bona dintlha mo nakong e e fitileng go thusa dikgwebo go tsamaisa tiro.
Dira ditshwantsho tse di kgatlhang tsa data gore di tlhalosege sentle.
Tokafatsa mefuta ka go dirisa hyperparameter tuning e e kwa godimo.
Tsenya tirisong ditharabololo tsa machine learning tse di ka oketsegang.
Dira features go oketsa boammaaruri jwa mofuta.
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.