Artificial Intelligence Machine Learning Course
What will I learn?
Bula lesedi la gore Botsipa bo ka thusa jang mo go tlhaloganyeng kgwebo ka Khoose ya rona ya Botsipa le Go Ithuta ga Botlhale jwa Maitirelo. Tsenelela mo go kgobokanyeng tshedimosetso, o ithute thata ka dilo tse di kwa ntle, seabe sa dipapatso, le go sekaseka thekiso ya maloba. Tokafatsa bokgoni jwa mochine ka go fetofetola dintlha tsa one le go ithuta mekgwa e e kwa pele jaaka random search. Ithute go baakanya tshedimosetso sentle, go thapisa mochine, le go sekaseka maduo, go balelwa le cross-validation le performance metrics. Tlhopha mochine o o siameng ka go tlhaloganya random forests, gradient boosting, le neural networks. Tsholetsa bokgoni jwa gago jwa go bega mme o dire ditshwetso tsa botlhokwa tsa kgwebo.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Nna setswerere mo go boneng thekiso go sa le gale ka go dirisa dilo tsa kwa ntle le tshedimosetso ya maloba.
Tokafatsa bokgoni jwa mochine ka go fetofetola dintlha tsa one le go tokafatsa.
Sekaseka maduo a mochine ka mekgwa ya statistical le machine learning.
Baakanya tshedimosetso sentle: normalization, deduplication, le go tlatsoa diphatlha.
Tlhopha le go thapisa metshine: Random Forest, Gradient Boosting, Neural Networks.
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.