Reinforcement Learning Course
What will I learn?
Ggulawo ebyama by'okukulaakulanya omulimu gwo mu by'obwongo bw'eby'obusuubuzi n'Ekitabo kyaffe ku Reinforcement Learning. Yingira mu nsonga enkulu ez'okuyiga nga weerondera (reinforcement learning), ng'okigerageranya n'engeri emanyiddwa ey'okuyiga byuma, era ofuuke omukugu mu nsonga enkulu nga state, action, ne reward. Yiga okukola model za sales forecasting, okwaŋŋanga okusoomoozebwa kw'ebyo ebikwata ku time-series data, n'okwekebejja engeri model gy'ekola. Yongera ku bumanyirivu bwo n'ebyokulabirako ebya ddala, tekiniki z'okunoonyereza ku data, n'obulagirizi obw'okuteekerateeka addaala ku addaala. Waniriza obukugu bwo era ovuga eby'okusalawo ebyesigamiziddwa ku data leero.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Fuuka omukugu mu nsonga za RL: Tegeera state, action, n'ensonga enkulu eza reward.
Kola model za RL: Kola ennyumba z'okukubiriza sales forecasting.
Noonyereza ku sales data: Londa trends era oteekerateeke eri ML.
Ekeleereza model: Kozesa metrics okugeraageranya RL ne model emanyiddwa.
Wandiika ebyo byoyize: Teekateeka lipoota era ofuune eby'okugattako ebivaamu mu ngeri entuufu.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change 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 will 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.