A Resource Guide To Build Netflix-Style Recommendation Systems! #27
Part2: Netflix AI/ML Series!
Hello Everyone,
Welcome to the 27th edition of my newsletter ML & AI Cupcakes!
This newsletter is a part of ‘Netflix AI/ML Series’. This series is designed to help you understand how Netflix utilizes AI/ML to solve their business problems.
In this series, we’ll discuss in-depth use-cases of AI/ML with the help of theory and code references.
This newsletter series will be very beneficial to you if you are looking for a career in AI/ML domain with big companies like Netflix.
It’s always a good starting point to know how these companies use AI/ML for their business. Knowing their use-cases will help you in interview preparations.
Just in case, you missed part 1 of the series, the link is given below:
Part 1: Netflix AI/ML Series
The agenda for today’s newsletter is to share helpful resources to work on Netflix datasets. Let’s look at these resources one-by-one:
Downloadable Datasets From Kaggle
There are multiple Netflix datasets available on Kaggle. You can download all of them for free. The link is given below:
Codes
There are multiple code notebooks available on Kaggle which you can use to learn how to do the analysis and build a recommendation system using Netflix dataset. The link is given below:
Video tutorials
Following is a list of video tutorials on YouTube which teaches how to build a recommendation system through code implementation.
Articles
Following is a list of articles to help you understand how a recommendation system works at the conceptual level and also a little bit more details about Netflix Recommendation system.
https://en.wikipedia.org/wiki/Netflix_Prize
https://www.analyticsvidhya.com/blog/2021/07/recommendation-system-understanding-the-basic-concepts/
https://www.analyticsvidhya.com/blog/2020/11/create-your-own-movie-movie-recommendation-system/
https://datajobs.com/data-science-repo/Recommender-Systems-[Netflix].pdf
https://netflixtechblog.com/netflix-recommendations-beyond-the-5-stars-part-1-55838468f429
https://netflixtechblog.com/netflix-recommendations-beyond-the-5-stars-part-2-d9b96aa399f5
https://hellopm.co/netflix-content-recommendation-system-product-analytics-case-study/
Did I miss any important resource?
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See you soon!
-Kavita