Recommender System Course
What will I learn?
Vhurai simba remazano akarongeka nemudzidzi wedu weChirongwa cheKukurudzira Zvinhu, chakagadzirirwa nyanzvi dzetekinoroji dzinoda kunatsiridza hunyanzvi hwavo. Nyatsobhururuka mukugadzirira data, hunyanzvi hwekuita senge kubata kukosha kuri kushomeka nekushandurwa kwedata. Shandisai mamodheru epamberi uchishandisa TensorFlow nePython, woongorora maalgorithm senge kubatirana kwefiltering nekutora matrix. Gadzirisai mamodheru nekugadzirisa hyperparameter uye maitiro ekuongorora, uye simudzai ruzivo rwevashandisi kuburikidza nemaitiro ekugadzirisa. Joinai izvozvi kuti mushandure data kuita nzwisiso inoshanda.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Batsirai kugadzirira data: Chenesai, shandurai, uye gadzirisai data zvakanaka.
Shandisai mamodheru: Shandisai Python, TensorFlow, uye Scikit-learn kuti muwane mazano.
Gadzirisai maalgorithm: Rongedzai ma hyperparameters woongorora maitiro.
Gadzirisai zviitiko: Simudzai kubatirana kwevashandisi kuburikidza nemazano akagadzirirwa.
Ongororai data: Zivai maitiro uye ratidzai maitiro ekuita sarudzo dzekuchenjera.
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.