Recommender Systems Capstone

所在平台: Coursera

课程主页: https://www.coursera.org/learn/recommeder-systems-capstone

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课程简介

课程名称:推荐系统顶点项目 课程概述:本课程是推荐系统专项的顶点项目,旨在将您在推荐系统算法和评估方面所学的知识整合到一个全面的推荐分析和设计项目中。您将接到一个案例研究任务,需通过分析推荐目标和算法性能,选择并论证推荐系统的设计。 荣誉课程的学习者将专注于对中等规模数据集的算法进行实验评估,而标准课程则包括提供结果和电子表格探索的混合内容。 两个组别都将撰写一份顶点报告,详细记录分析过程、所选解决方案及其论证理由。 课程大纲: - 部分:1 - 标题:顶点项目 - 描述:本部分将指导学员完成实际的推荐系统设计与分析项目。

课程大纲

Part: 1

Title:Capstone Project

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课程详情

This capstone project course for the Recommender Systems Specialization brings together everything you've learned about recommender systems algorithms and evaluation into a comprehensive recommender analysis and design project. You will be given a case study to complete where you have to select and justify the design of a recommender system through analysis of recommender goals and algorithm performance. Learners in the honors track will focus on experimental evaluation of the algorithms against medium sized datasets. The standard track will include a mix of provided results and spreadsheet exploration. Both groups will produce a capstone report documenting the analysis, the selected solution, and the justification for that solution.

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