Reinforcement Learning Course
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.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
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
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 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.