kks04048946

本講義は、推奨システムの基本概念からディープラーニング適用原理まで取り上げます。コラボレーションフィルタリング、コンテンツベースのフィルタリング、ハイブリッド推薦システムなど、さまざまな推薦アルゴリズムを学び、推薦サービス開発のための実務能力を育てましょう！

trimurti

人工知能活用推薦システム

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이론과 실습 한 번에

이론 실습 모두

This course covers everything from the basic concepts of recommendation systems to the principles of applying deep learning. Learn about various recommendation algorithms such as collaborative filtering, content-based filtering, and hybrid recommendation systems, and develop practical skills for developing recommendation services!

입문

초급

중급이상

Deep Learning(DL)

Machine Learning(ML)

Recommendation System

파이썬

Python

텐서플로

Tensorflow

AI-based recommendation system

Education Setup

Introduction to Recommendation Systems

Content Based Filtering

Collaborative Filtering (Collaborative Filtering)

Knowledge-Based Filtering

Deep Learning-based Matrix Factorization (MF) Recommendation System

Hybrid Model