Professional Certificate in AI in E-commerce: Recommender System Evaluation Metrics
-- ViewingNowProfessional Certificate in AI in E-commerce focuses on Recommender System Evaluation Metrics. This program is designed for data scientists, e-commerce professionals, and AI enthusiasts.
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2个月完成
每周2-3小时
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课程详情
- Introduction to Recommender Systems
- Types of Recommender Systems
- Importance of Evaluation Metrics in Recommender Systems
- Precision and Recall in Recommender Systems
- F1 Score and Its Application in Evaluation
- Mean Absolute Error (MAE) and Root Mean Square Error (RMSE)
- Normalized Discounted Cumulative Gain (NDCG)
- Area Under the ROC Curve (AUC-ROC)
- User Engagement Metrics and Their Relevance
- A/B Testing for Recommender System Performance Evaluation
职业道路
Career Roles in AI-driven E-commerce AI Data Analyst AI Data Analysts leverage data to improve customer experiences and enhance product recommendations in the e-commerce landscape.
Machine Learning Engineer Machine Learning Engineers design and develop algorithms that power advanced recommender systems, making them essential in the AI e-commerce sector.
E-commerce Strategy Consultant These professionals formulate strategies that integrate AI technologies, optimizing sales and customer engagement in online retail.
Software Developer Software Developers are crucial for building the infrastructure that supports AI applications, including recommender systems in e-commerce platforms.
User Experience Designer User Experience Designers focus on creating intuitive interfaces that enhance customer interaction with AI-driven e-commerce systems.
入学要求
- 对主题的基本理解
- 英语语言能力
- 计算机和互联网访问
- 基本计算机技能
- 完成课程的奉献精神
无需事先的正式资格。课程设计注重可访问性。
课程状态
本课程为职业发展提供实用的知识和技能。它是：
- 未经认可机构认证
- 未经授权机构监管
- 对正式资格的补充
成功完成课程后，您将获得结业证书。
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