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所在平台: Udemy |
课程主页: https://www.udemy.com/course/recommendation-system-with-machine-learning-ai-using-python/
课程评论：没有评论
**课程名称：** 使用 Python 进行推荐系统实战项目 **课程概述：** 您是否好奇如今几乎所有在线平台都在使用的推荐系统？本课程将深入解析推荐系统的概念及其重要性。无论是 Google 的搜索结果、YouTube 的视频推送，还是 Netflix 的电影推荐，都离不开推荐系统的强大支持。 推荐系统的核心在于预测用户的兴趣，并向他们推荐可能感兴趣的产品或内容。本课程将为您提供对推荐系统的全面理解，涵盖以下知识点： * 推荐系统的实际应用场景。 * 平均加权技术推荐系统。 * 基于热门度的推荐系统。 * 基于平均加权及热门度的混合模型。 * 协同过滤。 * 基于内容的过滤。 * 以及更多进阶内容！ 此外，您还将通过两个激动人心的项目来实践所学知识。 **课程特色：** * **讲师支持：** 享受快速的讲师支持，解决您的问题。 * **课程资源：** 所有课程使用的资源将通过 Google Drive 链接分享。 **如何充分利用本课程：** 请务必观看“充分利用这个黄金机会，问答环节！”讲座。
Believe it or not, almost all online platforms today uses recommender systems in some way or another.So What does "recommender systems" stand for and why are they so useful?Let's look at the top 3 websites on the Internet: Google, YouTube, and NetfixGoogle: Search resultsThats why Google is the most successful technology company today.YouTube: Video dashboardI'm sure I'm not the only one who's accidentally spent hours on YouTube when I had more important things to do! Just how do they convince you to do that?That's right this is all on account of Recommender systems!Netflix: So powerful in terms of recommending right movies to users according to the behaviour of users!Recommender systems aim to predict users' interests and recommend product items that quite likely are interesting for them.This course gives you a thorough understanding of the Recommendation systems.In this course, we will cover:Use cases of recommender systems.Average weighted Technique Recommender SystemPopularity-based Recommender SystemHybrid Model based on Average weighted & PopularityCollaborative filtering.Content based filteringand much, much more!Not only this, you will also work on two very exciting projects.Instructor Support - Quick Instructor Support for any query within 2-3 hours All the resources used in this course will be shared with you via Google Drive LinkHow to make most from the course ?Check out the lecture "Utilize This Golden Oppurtunity , QnA Section!"
