[Beginner/Introductory] Implementing Recommendation Systems through Various Examples
🧩 Rather than focusing on complex formulas or theory-centric explanations, the goal is to learn the core concepts of recommendation systems by directly implementing programs. 🛠️ Through a total of 12 diverse and practical examples, we have progressively designed recommendation systems that can be utilized in real-world environments, including content-based recommendation, collaborative filtering, and deep learning recommendation.
(4.7) 7 reviews
402 learners
Level Basic
Course period Unlimited
Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)
PyTorch
PyTorch
AI
AI
LLM
LLM
Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)
PyTorch
PyTorch
AI
AI
LLM
LLM
- Unresolved
타 강의 내용
안녕하세요? 현 강의와 관련 없는 질문해서 죄송합니다.(답변 받는 즉시 지우겠습니다.)<p sty
머신러닝딥러닝pytorch인공지능(ai)llmmhcai1st2276
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강의 pdf
안녕하세요~!강의 pdf 파일 받을 수 있을까요? 강의 듣고 복습하는데 pdf 파일로 복습하려고 하거든요!
머신러닝딥러닝pytorch인공지능(ai)llmtwoj
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안녕하세요 몇가지 질문이 있습니다.
안녕하세요!좋은 강의 만들어주셔서 감사합니다.방금전 강의를 신청하였고,<p style="text-
머신러닝딥러닝pytorch인공지능(ai)llmhattman9841
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