Basic course of 4 hours free
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AI tutor
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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.
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Learning outcomes
Enhance 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.