Recommender System Course
What will I learn?
Bula maatla a go dira ditshutiso tse di ikemetseng ka thuto ya rona ya Go Dira Ditsela tsa go Akanyetsa Dilatlhoko tsa Batho, e e diretsweng batho ba ba dirang ka theknoloji ba ba tlhagafaletseng go tokafatsa bokgoni jwa bone. Ithute ka botlalo go baakanya data, go itshenolela ditsela tse di jaaka go samagana le boleng jo bo tlogetsweng le go fetola data. Dirisa mefuta e e kwa godimo o dirisa TensorFlow le Python, mme o sekaseke ditsela tse di jaaka collaborative filtering le matrix factorization. Tokafatse mefuta ka go lekalekanya di-hyperparameter le dipalo tsa tshekatsheko, mme o godise maitemogelo a modirisi ka ditsela tsa go ikgolaganya le batho. Tsena jaanong go fetola data go nna ditshwetso tse di ka diragadiwang.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute go baakanya data: Ntlafatsa, fetola, le go laola data ka botswerere.
Dirisa mefuta: Dirisa Python, TensorFlow, le Scikit-learn go dira ditshutiso.
Tokafatse ditsela: Lekalekanya di-hyperparameter mme o sekaseke dipalo tsa tiragatso.
Ikgolaganye le maitemogelo: Tsholetsa go nna le seabe ga modirisi ka ditshutiso tse di dirilweng go ya ka motho.
Sekaseka data: Lemoga dipaterone mme o bone dintlha tsa ditsela tsa ditshwetso tse di botlhale.
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’ll 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.