@ArtOfTheProblem
  @ArtOfTheProblem
Art of the Problem | How Recommender Systems Work (Netflix/Amazon) @ArtOfTheProblem | Uploaded 4 years ago | Updated 9 hours ago
The key insights behind content and collaborative filtering (Matrix Factorization). How Amazon, Netflix, Facebook and others predict what you will like.

Paper in this video:
Matrix Factorization Techniques for Recommender Systems
https://www.inf.unibz.it/~ricci/ISR/papers/ieeecomputer.pdf
How Recommender Systems Work (Netflix/Amazon)What is a Markov chain?What is Information Theory? (Information Entropy)Origin of Reinforcement LearningReinforcement Learning | A history from Tic-Tac-Toe to HumanoidsWhy Transformers Are So PowerfulHow AI Learns (Backpropagation 101)TEASER: Episode 5 (Artificial Intelligence/Deep Learning)Sieve of Eratosthenes (Prime Adventure part 4)P = NP Explained Visually  (Big O Notation & Complexity Theory)Discovery Of Electric Motors #physics #electricalengineering  #science #technologyGambling with Secrets: 8/8 (RSA Encryption)

How Recommender Systems Work (Netflix/Amazon) @ArtOfTheProblem

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER