Selamat datang di Sistem Rekomendasi! Kami telah merancang
materi ini
untuk memperluas pengetahuan Anda tentang sistem rekomendasi dan menjelaskan
model berbeda yang digunakan
dalam rekomendasi, termasuk matriks
faktorisasi dan deep neural network.
Prasyarat
Kursus ini mengasumsikan bahwa Anda telah:
Menyelesaikan Kursus Singkat Machine Learning
baik secara langsung atau belajar mandiri, atau Anda memiliki pengetahuan yang setara.
Pemahaman tentang aljabar linear (produk dalam, produk matrix-vector).
[null,null,["Terakhir diperbarui pada 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."]]],[]]
