Recommendation Systems Courses and Certifications

Toronto Machine Learning Series (TMLS)

Building a MovieLens Recommender System

Explore recommendation systems and build your own using collaborative and content-based filtering techniques in Python with MovieLens dataset.

• YouTube
• 1 hour 29 minutes
• Self-Paced
• Free Video

Recommendation Systems on Google Cloud

In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine. This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.

• Google Skills
• 8 hours
• Self-Paced
• Paid Course

Association for Computing Machinery (ACM)

Deep Learning for Search and Recommender Systems in Practice - Part 2

Explore advanced techniques in deep learning for search and recommender systems, focusing on practical implementation and real-world applications at LinkedIn.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Association for Computing Machinery (ACM)

Deep Learning for Search and Recommender Systems in Practice - Part 1

Explore practical applications of deep learning in search and recommender systems, focusing on query understanding, candidate retrieval, and ranking techniques.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Association for Computing Machinery (ACM)

Recommender Systems - Beyond Machine Learning with Joe Konstan

Explore advanced recommender systems beyond machine learning, focusing on user behavior and experience. Learn about successes, failures, and innovative approaches to personalization and evaluation.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

James Briggs

Evaluation Measures for Search and Recommender Systems

Learn popular offline metrics for evaluating search and recommender systems, including Recall@K, MRR, MAP@K, and NDCG@K, with Python demonstrations and practical insights for improving information retrieval systems.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Nvidia

Boosted Trees and Deep Neural Networks for Better Recommender Systems

Explore GPU-accelerated boosted trees and deep neural networks for building winning recommender systems, featuring insights from Kaggle Grandmasters on the ACM RecSys Challenge.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Alan Turing Institute

Spotify - Personalising the Listening Experience - Mounia Lalmas

Explore Spotify's approach to personalizing music recommendations using machine learning, focusing on user intents, relevance, diversity, and satisfaction to enhance the listening experience.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Databricks

Frequently Bought Together Recommendations Using Embeddings - Challenges and Solutions

Explore embedding-based "frequently bought together" recommendations for e-commerce, covering model training, productionization, metrics, and serving strategies. Learn practical tips for large-scale implementation.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

MLOps.community

Building Recommender Systems with Large Language Models

Explore recent approaches to building recommender systems using LLMs, focusing on language understanding and generation templates for various recommendation tasks.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

AI Engineer

Netflix's Big Bet - One Model to Rule Recommendations

Discover Netflix's foundation model strategy for personalized recommendations and recent developments in generative AI for content optimization.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Association for Computing Machinery (ACM)

Semantic Scholar- Tera-Scale NLP to Accelerate Scientific Research--Daniel Weld

Explore Semantic Scholar's AI-powered tools for accelerating scientific research, including adaptive feeds, personalized alerts, and advanced summarization techniques.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Association for Computing Machinery (ACM)

Deep Learning for Search and Recommender Systems in Practice

Explore deep learning techniques for search and recommendation systems, covering document retrieval, ranking, personalization, and evaluation metrics. Learn about pointwise, pairwise, and listwise ranking approaches.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Association for Computing Machinery (ACM)

Algorithmic Governance of the Public Sphere - Keynote Panel

Exploring the impact of algorithmic curation on online speech and political discourse, with experts discussing regulatory and technological solutions for effective public sphere governance.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Aladdin Persson

Paper Time - The Netflix Recommender System

Explore Netflix's innovative recommender system, its algorithms, and impact on user experience in this in-depth analysis of personalized content delivery.

• YouTube
• 54 minutes
• Self-Paced
• Free Video