Big Data Machine Learning Course
What will I learn?
Notlolla matla a data ka Thupelo ea rona ea Boitsebelo bo Boholo le Boitlhopho ba Mochini, e etselitsoeng litsebi tsa theknoloji tse labalabelang ho hlaella. Kena ka ho bokella data, ho e hloekisa le ho e boloka, tseba ho ntlafatsa mohlala ka mekhoa ea Bayesian, 'me u hlahlobe ho lokisa li-hyperparameter. Ithute ho tsamaisa mefuta e mengata ea boitlhopho ba mochini, ho sebetsana le data ea nako ea 'nete, le ho kopanya le litsamaiso tse teng. Fumana boiphihlelo ho Hadoop, Spark, le litsamaiso tsa likhothaletso, ha u ntse u ntlafatsa tsebo ea hau ho tlhahlobo ea data e hlalosang le ho lemoha liphoso. Kena hona joale ho fetola mosebetsi oa hau.
Apoia's Unique Features
Develop skills
Enhance your practical skills as listed below
Tseba ho hloekisa data: Ntlafatsa boleng ba data ka mekhoa e sebetsang ea ho e lokisetsa pele.
Ntlafatsa mehlala: Ntlafatsa ts'ebetso ka mekhoa e tsoetseng pele ea ho lokisa li-hyperparameter.
Tsamaisa ka tekanyo: Kenya tšebetsong mefuta e mengata ea boitlhopho ba mochini bakeng sa ts'ebeliso ea 'nete ea lefatše.
Sebelisa data e kholo: Sebelisa Hadoop le Spark bakeng sa ts'ebetso e sebetsang ea data.
Etsa likhothaletso: Etsa litsamaiso tse matla u sebelisa filthara e kopantsoeng le e kopanetsoeng.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and workload.
- Choose your starting chapter
- Add or remove chapters
- Alter the total course workload
Examples of chapters you can include
You'll be able to generate additional chapters similar to 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 provides practical and relevant knowledge for your career.