Recommendation Systems with TensorFlow on GCP

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Below are the top discussions from Reddit that mention this online Coursera course from Google Cloud.

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

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Taught by
Google Cloud Training

and 13 more instructors

Offered by
Google Cloud

Reddit Posts and Comments

0 posts • 1 mentions • top 1 shown below

r/MachineLearning • comment
1 points • curioussouya

I was in a similar situation like you, about a week ago. I googled most of the result, whose summary is as follows:

  1. Courses:
  2. Coursera: Recommendation Systems with TensorFlow on GCP
    1. Pros: This course gives you more hands-on experience with actual coding.
    2. Cons: Not much into theoretical, hence if you just want to learn the implementation, you are good to go.
  3. Coursera: Introduction to Recommender Systems: Non-Personal
    1. Pros: It is a 5 courses specialization which covers almost every aspect of a basic recommender system. The theory part is great and guides you to write your own code.
    2. Cons: It is an outdated course with video lecture being as old as 2014, also the programming language they use is Java which is not compatible with today's python friendly environment.
  4. Online Blogs/articles:
  5. Medium articles: You will get tons of medium articles on recommender system topics. Here are a few. which I liked:
    1. How hacker news algorithm works
    2. Introduction to recommendation systems and How to design Recommendation system,that resembling the Amazon
    3. Recommender Systems — User-Based and Item-Based Collaborative Filtering
  6. Also, you may find some good research paper like this one.
  7. Python libraries and online repositories:
  8. Lenskit
  9. Grouplens
  10. Kaggle
  11. Github repo 1
  12. Github repo 2
  13. Github repo 3

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Any more help on this list will be extremely helpful.