Machine Learning Notebook
search
Ctrlk
  • Introduction
  • Supervised Learning
    • Basic Overviewchevron-right
    • Convolutional Neural Networkchevron-right
    • Diffusionchevron-right
    • Naive Bayes
    • Decision Treechevron-right
    • Natural Language Processingchevron-right
    • Searchchevron-right
    • Recommenderchevron-right
      • Singular Value Decomposition
      • Low Rank Matrix Factorization
      • Neural Collaborative Filtering
      • Sampling Bias Corrected Neural Modeling for Large Corpus Item Recommendations
      • Real-time Personalization using Embeddings for Search Ranking
      • Wide and Deep Learning for Recommender Systems
    • Recurrent Neural Networkchevron-right
  • Unsupervised Learning
    • Clusteringchevron-right
    • Reinforcement Learningchevron-right
  • SageMaker
    • Population Segmentation with PCA and KMeans
    • Fraud Detection with Linear Learner
    • Time Series Forecast with DeepAR
    • PyTorch Non-linear Classifier
gitbookPowered by GitBook
block-quoteOn this pagechevron-down
  1. Supervised Learning

Recommender

Singular Value Decompositionchevron-rightLow Rank Matrix Factorizationchevron-rightNeural Collaborative Filteringchevron-rightSampling Bias Corrected Neural Modeling for Large Corpus Item Recommendationschevron-rightReal-time Personalization using Embeddings for Search Rankingchevron-rightWide and Deep Learning for Recommender Systemschevron-right
PreviousNearest Neighbor Searchchevron-leftNextSingular Value Decompositionchevron-right

Last updated 2 years ago