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.
Lab intro: Create a Content-Based Recommendation System
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4.5 (458 ratings)
- 5 stars67.24%
- 4 stars20.96%
- 3 stars6.11%
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JC
Jul 13, 2020
This course and specialization are a great way to learn how to use the Google Cloud Platform with Tensorflow to build cutting edge systems.
RS
Apr 18, 2020
It is a wonderful course, to learn about the practical implementation of recommendation systems on Google Cloud Platform.
From the lesson
Content-Based Recommendation Systems
This module demonstrates how to build a recommendation system using characteristics of the users and items and how to use Qwiklabs to complete each of your labs using Google Cloud.
Taught By
Google Cloud Training
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