Recommender Systems Courses and Certifications

Serrano.Academy

How Does Netflix Recommend Movies? Matrix Factorization

Learn how Netflix recommends movies using matrix factorization in this less than 1-hour material from Serrano.Academy. Understand machine learning, error function, and inference.

• YouTube
• 33 minutes
• On-Demand
• Free Online Course

Data Science Dojo

Building a Personalised Attrition Recommendation System

Learn to build an attrition recommendation system with Data Science Dojo. In under an hour, explore data collection, preprocessing, model development, and deployment strategies to prevent employee churn.

• YouTube
• 58 minutes
• On-Demand
• Free Online Course

Coding Tech

Building a Music Recommendation Engine

Learn to build a music recommendation engine with Coding Tech. Understand the AudiSet Dataset, Embedding Generator, and use ANNOY in less than an hour.

• YouTube
• 43 minutes
• On-Demand
• Free Online Course

James Briggs

Evaluation Measures for Search and Recommender Systems

Learn to evaluate search and recommender systems using popular offline metrics like Recall@K, MRR, MAP@K, and NDCG@K with Python in less than an hour with James Briggs.

• YouTube
• 31 minutes
• On-Demand
• Free Online Course

Aladdin Persson

Matrix Factorization Techniques for Recommender Systems

Learn matrix factorization techniques for recommender systems with Aladdin Persson in a concise 1-2 hour material.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Online Course

Aladdin Persson

Paper Time - The Netflix Recommender System

Explore Netflix's recommender system in under an hour with Aladdin Persson. Ideal for those interested in data science.

• YouTube
• 54 minutes
• On-Demand
• Free Online Course

Building Similarity Based Recommendation System

35 ratings at Coursera

Learn to build similarity-based recommendation systems with Coursera Project Network. This 1-hour course covers collaborative filtering, data collection, and user-item interactions.

• Coursera
• 1-2 hours
• On-Demand
• Paid Course

Text Retrieval and Search Engines

13 reviews

Learn how search engines work and how to retrieve relevant text data from large collections. Gain insights into text mining and analysis. (University of Illinois)

• Coursera
• 1 day 6 hours 49 minutes
• On-Demand
• Free Online Course (Audit)

Deploying Machine Learning Models

51 ratings at Coursera

Learn to deploy machine learning models with a focus on recommender systems in this 5-week course from the University of California, San Diego. Culminates in a capstone project.

• Coursera
• 10 hours 56 minutes
• On-Demand
• Free Online Course (Audit)

Java Programming: Build a Recommendation System

635 ratings at Coursera

Duke University's 4-week course teaches Java programming and problem-solving skills to build a recommendation system, similar to those used by Netflix or Amazon.

• Coursera
• 4 hours 59 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Reinforcement Learning

2 reviews

Explore adaptive learning systems and AI with this 22-week course from the University of Alberta. Learn to implement complete Reinforcement Learning solutions and apply them to real-world problems.

• Coursera
• 22 weeks, 4 hours a week
• On-Demand
• Paid Course
• 4 courses

Introduction to Recommender Systems: Non-Personalized and Content-Based

638 ratings at Coursera

Learn to compute recommendations from datasets using basic spreadsheet tools in this 4-week course by the University of Minnesota. It covers non-personalized and content-based filtering recommendations.

• Coursera
• 23 hours 16 minutes
• On-Demand
• Free Online Course (Audit)

Recommender Systems: Evaluation and Metrics

232 ratings at Coursera

Learn to evaluate recommender systems with the University of Minnesota's 4-week course. Gain knowledge on various metrics, offline and online evaluations, and align them with user and business goals.

• Coursera
• 7 hours 14 minutes
• On-Demand
• Free Online Course (Audit)

Matrix Factorization and Advanced Techniques

186 ratings at Coursera

Learn matrix factorization and hybrid machine learning techniques for recommender systems in a 6-week course by the University of Minnesota.

• Coursera
• 15 hours 51 minutes
• On-Demand
• Free Online Course (Audit)

Recommender Systems Capstone

29 ratings at Coursera

Join University of Minnesota's 1-week capstone project, focusing on the design and analysis of recommender systems. Includes case study, algorithm evaluation, and report documentation.

• Coursera
• 2 hours 56 minutes
• On-Demand
• Free Online Course (Audit)