Applied ai Machine Learning Course
What will I learn?
Vhurai simba reAI muuchenjeri hwebhizinesi neKosi yedu yeMashandisirwo eAI muKudzidza Mashini. Yakagadzirirwa nyanzvi, kosi ino inopa zvinhu zvakadzama, zvemhando yepamusoro pamusoro pekuunganidza data, kugadzirira, uye kugadzira zvinhu zvenguva. Iva nyanzvi mumhando dzekudzidza mashini dzinoti ARIMA ne LSTM, uye dzidza kuongorora nekudziorodza kuti ufanotaure zvakarurama. Simudzira hunyanzvi hwako mukududzira mhedzisiro nekuita mazano anofambiswa nedata, uku uchinyora nekushuma zvinobudirira. Kwidziridza basa rako nepfungwa dzinoshanda, dzinotoreka nhasi.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Iva nyanzvi mukugadzira zvinhu: Gadzira zvinhu zvenguva zvinobudirira pakuongorora.
Dzorodza kuunganidzwa kwedata: Ziva nekushandisa masosi edata akakodzera zvinobudirira.
Simudzira kugadzirira data: Chenesa, gadzirisa, uye ukwire data kuti ive yakarurama.
Shandisa mhando dzekufanotaura: Shandisa ARIMA ne LSTM pakufanotaura kwakajeka.
Taura pfungwa: Ratidza uye ushume mazano ebhizinesi anofambiswa nedata.
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.