Recommendation Systems Courses and Certifications

Recommendation Systems Foundations

Explore foundational recommendation system algorithms, from baseline prediction models to similarity measures and advanced prediction techniques essential for building robust recommendation tools.

• CodeSignal
• On-Demand
• Free Certificate

Content-Based Recommendation Systems

Dive into content-based recommendation systems, exploring factorization machines and DSSM with hands-on coding examples for developing personalized recommendation models using rich data.

• CodeSignal
• On-Demand
• Free Certificate

Recommendation Systems Quality Evaluation

Explore recommendation system evaluation metrics like Coverage, Serendipity, Novelty, and Diversity through theoretical insights and practical coding examples.

• CodeSignal
• On-Demand
• Free Certificate

AI Engineer

Improving Recommendation Systems and Search in the Age of LLMs

Explore how LLMs revolutionize recommendation systems through semantic IDs, synthetic data augmentation, and unified models with real-world case studies from Amazon, Netflix, Spotify, and Etsy.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Databricks

Building Recommendation Systems Using Graph Neural Networks

Explore graph neural networks for recommendation systems, focusing on RECKON's encoder-decoder architecture to improve entity intelligence and personalize user experiences.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Data Science Festival

Networks and Recommendation Systems

Explore graph-based recommendation systems, their transparent implementation, and real-world applications in this technical deep dive for data science practitioners.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Recommendation Systems for Digital Out of Home Advertising

Explore probabilistic modeling for digital out-of-home advertising content recommendations. Learn strategies for effective ad distribution across digital screens and gain insights into data-driven decision-making for content selection and placement.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Adaptive In-Context Learning with Large Language Models for Bundle Generation - Recommendation Systems

Explore adaptive in-context learning techniques for bundle generation using large language models in recommendation systems.

• YouTube
• 15 minutes
• On-Demand
• Free Video

Data Science Conference

Building Decision-Making Assistants: Introduction to Recommendation Systems

Explore recommendation systems from basic classification to advanced Netflix-style matrix factorization, covering content filtering, collaboration models, SVD, and PCA techniques.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Data Science Conference

Building a Recommendation System for EPAM Systems

Discover how EPAM Systems builds and implements recommendation systems, exploring ML approaches, business goals, feature engineering, quality metrics, and monitoring strategies in production.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Data Science Conference

Enhancing Personalization Using Recommendation Systems and Multi-Armed Bandits

Discover how Wargaming's recommendation system uses advanced algorithms to analyze player behavior, boosting engagement and increasing revenue by over 40% through personalized content suggestions.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Mining Massive Datasets

24 reviews

The course is based on the text Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeff Ullman, who by coincidence are also the instructors for the course.

• edX
• 7 weeks, 5-10 hours a week
• On-Demand
• Free Online Course (Audit)

• Best of All Time

EDUCBA

Recommendation Engine - Basics

Discover how to build movie recommendation systems using Python, collaborative filtering, and the Surprise library with hands-on model evaluation and deployment techniques.

• Coursera
• 1 hour 43 minutes
• On-Demand
• Free Online Course (Audit)

EDUCBA

Project on Recommendation Engine - Advanced Book Recommender

Master building personalized book recommendation systems using Python, combining collaborative and content-based filtering into hybrid models with real-world applications.

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

EDUCBA

Project on Recommendation Engine - Book Recommender

Discover how to build a functional book recommendation engine using Python, data science techniques, and content-based filtering to create personalized suggestions.

• Coursera
• 3 hours 45 minutes
• On-Demand
• Free Online Course (Audit)