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Recommendation Systems on Google Cloud

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Recommendation Systems on Google Cloud

magic_button Machine Learning Pipeline Machine Learning Machine Learning Models
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8 个小时 中级 universal_currency_alt 25 积分

In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.

This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.

完成此活动，赢取徽章！向世界展示您掌握的技能，拓展云领域的职业之路。

Recommendation Systems on Google Cloud徽章
info
课程信息
目标
  • Devise a content-based recommendation engine.
  • Implement a collaborative filtering recommendation engine.
  • Build a hybrid recommendation engine with user and content embeddings.
  • Use reinforcement learning techniques for contextual bandits in the context of recommendations.
前提条件
• Prior familiarity with foundational machine learning concepts as covered in Machine Learning on Google Cloud. • Familiarity with cloud concepts and fundamentals, networking, security. • Basic proficiency with a scripting language such as Python as covered in the Google Python Crash course. • Basic proficiency with SQL. • Familiarity with Python and TensorFlow.
受众
Aspiring machine learning data analysts, data scientists, data engineers, and programmers interested in learning how to apply machine learning to recommendation systems in practice.
支持的语言
English
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