Witamy w systemach rekomendacji. Opracowaliśmy ten kurs,
poszerzenie wiedzy o systemach rekomendacji i wyjaśnienie
różne modele używane w rekomendacjach, w tym macierz
algorytm rozkładu na czynniki pierwsze i głębokie sieci neuronowe.
[null,null,["Ostatnia aktualizacja: 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."]]],[]]
