Sign in
Introduction to Recommender Systems
Jun 26, 2020
|
39 views
AlexRen@CrossMinds.ai
Follow
Details
We introduce you to the big world of recommender systems. We cover what they are, why they are important, and how they work. We also go over how and why big companies like Amazon, Netflix, Pandora, and YouTube rely on them to serve you the most relevant content. In a nutshell, recommmender systems are really an automated system to filter some entities. These entities could be products, people, ads, movies, or songs. It uses user preference to predict items the system thinks the user will like. -- Learn more about Data Science Dojo here:
https://datasciencedojo.com/data-science-bootcamp/
Watch the latest video tutorials here:
https://tutorials.datasciencedojo.com/
See what our past attendees are saying here:
https://datasciencedojo.com/bootcamp/reviews/
-- Like Us:
https://www.facebook.com/datasciencedojo/
Follow Us:
https://twitter.com/DataScienceDojo
Connect with Us:
https://www.linkedin.com/company/data-science-dojo
Also find us on: Instagram:
https://www.instagram.com/data_science_dojo/
Vimeo:
https://vimeo.com/datasciencedojo
Category: Work Skills
Comments
loading...
Reactions
(0)
| Note
📝 No reactions yet
Be the first one to share your thoughts!
Reactions
(0)
Note
loading...
Recommended
11:12
What is Random?
Vsauce
| Jun 1, 2020
6:26
Is Style Transfer For Fluid Simulations Possible? 🌊
Two Minute Papers
| Jun 10, 2020
25:27
Face editing with Generative Adversarial Networks
Arxiv Insights
| Jun 11, 2020
4:12
OpenAI API is magical...
WelcomeAIOverlords
| Jun 17, 2020
3:00
Microsoft CEO Satya Nadella on why artificial intelligence is the next big retail trend
Yahoo Finance
| Jun 26, 2020