Big Data Machine Learning Course
What will I learn?
Vhurai simba redata ne Big Data Machine Learning Chirongwa chedzidzo chedu, chakagadzirirwa nyanzvi dzetekinoroji dzinoda kubudirira. Nyururirai mukutora data, kurichenesa, nekuchengeta, vengai kugadzirisa modhi nehunyanzvi hwe Bayesian, uye ongororai kugadzirisa hyperparameter. Dzidzai kuisa modhi dze machine learning dzinokwanisa kushanda zvakakura, kugadzirisa data renguva chaiyo, nekubatanidza nemasisitemu aripo. Wanai hunyanzvi muHadoop, Spark, uye masisitimu ekurumbidza, muchiwedzera hunyanzvi hwenyu mukuongorora data nekutsvaga zvisina kujairika. Joinai zvino kuti mushandure basa renyu.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Vengai kuchenesa data: Simudzirai hutano hwedata nehunyanzvi hwekutanga kwakanaka.
Gadzirisai modhi: Simudzirai mashandiro ne nzira dzepamusoro dzekugadzirisa hyperparameter.
Isai zvakakura: Shandisai modhi dze machine learning dzinokwanisa kushanda zvakakura kuti dzishande munyika chaiyo.
Shandisai big data: Shandisai Hadoop na Spark kuti mugadzirise data zvakanaka.
Vakai mazano: Gadzirai masisitimu akasimba muchishandisa kusefa kwakavhenganiswa nekubatirana.
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.