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Reinforcement Learning Course

Reinforcement Learning Course
from 4 to 360h flexible workload
certificate recognized by MEC

What will I learn?

Vhurai mikana yeruzivo rwebhizinesi renyu neReinforcement Learning Chirongwa chedu. Nyatso jekesa zvakakosha zve reinforcement learning, muchienzanisa nemamachine learning akajairika, uye munge muchiziva pfungwa dzinokosha sekuti state, action, uye reward. Dzidzai kugadzira mamodels e sales forecasting, kurwisa matambudziko edata ye time-series, uye kuyera mashandiro emamodel. Simudzira hunyanzvi hwenyu nezvidzidzo zvinoshanda, maitiro ekuongorora data, uye nhungamiro yekutevedzera nhanho nhanho. Simudzai hunyanzvi hwenyu uye mutungamirire zvisarudzo zvinofambiswa nedata nhasi.

Elevify advantages

Develop skills

  • Ziva pfungwa dzeRL: Nyatso batisisa zvinhu zvinokosha zve state, action, uye reward.
  • Gadzira mamodels eRL: Gadzira magadzirirwo e sales forecasting.
  • Ongorora data re sales: Ziva maitiro uye gadzirira ML.
  • Yera mamodels: Shandisa metrics kuenzanisa RL nemamodels akajairika.
  • Nyora zvawakawana: Rongedza mishumo uye pfupikisa mhedzisiro zvinobudirira.

Suggested summary

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.
Workload: between 4 and 360 hours

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