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Index
Getting Started
Introduction
Getting Set Up
Course Overview
Overview of Recommender Systems
Applications of Recommender Systems
Gathering Interest Data
Top-N Recommenders
Quiz
Introduction to Python
Evaluating Recommender Systems
Testing Methodologies
Accuracy Measures
Hit Rate Measures
Coverage
Diversity
Novelty
Churn
Responsiveness
A/B Tests
Quiz
Measuring Recommenders with Python
Recommender Engine Design
Content-Based Filtering
Attribute-based Recommendations
Cosine Similarity
K-Nearest Neighbors
Coding Activity
Bleeding Edge Alert! Mise en Scène Similarities
Coding Exercise
Neighborhood-Based Collaborative Filtering
Top-N Architectures
Cosine Similarity
Sparsity
Adjusted Cosine
Pearson Similarity
Spearman Rank Correlation
Mean Squared Difference
Jaccard Similarity
User-based Collaborative Filtering
Coding Activity
Item-Based Collaborative Filtering
Coding Activity
KNN Recommenders
Coding Activity
Bleeding Edge Alert! Translation-Based Recommendations
Model-Based Methods
Matrix Factorization
Principal Component Analysis
Coding Activity: SVD
Flavors of Matrix Factorization
Coding Exercise
Bleeding Edge Alert! Sparse Linear Methods
Recommendations with Deep Learning
Introduction to Deep Learning
Deep Learning Pre-requisites
Artificial Neural Networks
Deep Learning Networks
Using TensorFlow
Using Keras
Convolutional Neural Networks
Recurrent Neural Networks
Recommendations with Deep Learning
Restricted Boltzmann Machines
Coding Exercise
Deep Neural Networks for Recommendations
Autoencoders
Coding Activity
Using RNN’s for Session-Based Recommendations
Coding Exercise
Bleeding Edge Alert! Deep Factorization Machines
Word2Vec
3D CNN’s
Scaling it Up
Apache Spark and MLLib
Coding Activity
Amazon DSSTNE
Coding Activity
AWS SageMaker
Challenges of Recommender Systems
The Cold-Start Problem
Exercise: Random Exploration
Stoplists
Filter Bubbles
Trust
Outliers and Data Cleaning
Malicious User Behavior
The Trouble with Click Data
International Considerations
The Effects of Time
Optimizing for Profit
Case Studies
YouTube
Learning to Rank
Netflix
Hybrid Recommenders
Coding Exercise
More to Explore
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