Ti diamo il benvenuto in Sistema di gestione dei suggerimenti. Abbiamo ideato questo corso
per ampliare la conoscenza dei sistemi di consigli e spiegare
i diversi modelli utilizzati nei suggerimenti, tra cui
la fattorizzazione e le reti neurali profonde.
[null,null,["Ultimo aggiornamento 2024-07-26 UTC."],[[["This course provides a comprehensive overview of recommendation systems and their various models, including matrix factorization and deep neural networks."],["Learners will gain an understanding of the key components of recommendation systems, such as candidate generation, scoring, and re-ranking, as well as the use of embeddings."],["The course requires prior knowledge of machine learning concepts and familiarity with linear algebra."],["Upon completion, learners should be able to describe the purpose of recommendation systems and develop a deeper understanding of common techniques used in candidate generation."],["The estimated time commitment for this course is approximately 4 hours."]]],[]]
