Collaborative Filtering Courses and Certifications

Diving Deep into Collaborative Filtering Techniques with ALS

Explore collaborative filtering techniques for recommendation systems, from user-based methods to matrix factorization and Alternating Least Squares algorithms for both explicit and implicit feedback.

• CodeSignal
• 4 hours
• On-Demand
• Free Certificate

Collaborative Filtering Techniques with ALS using JS

Master collaborative filtering and ALS algorithms in JavaScript to build powerful recommendation systems with user-based, item-based, and matrix factorization techniques.

• CodeSignal
• 4 hours
• On-Demand
• Free Certificate

Association for Computing Machinery (ACM)

Graph Signal Diffusion Model for Collaborative Filtering - Tutorial 2.2

Explore graph signal diffusion models for collaborative filtering in recommendation systems, enhancing predictive accuracy and user experience.

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

Association for Computing Machinery (ACM)

Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity

Explore collaborative filtering using diffusion models, unveiling high-order connectivity potential in recommendation systems for enhanced user experiences.

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

Nearest Neighbor Collaborative Filtering

308 ratings at Coursera

Learn personalized recommendation techniques using nearest-neighbor algorithms. Explore user-user and item-item collaborative filtering, their variations, benefits, and drawbacks for creating tailored product suggestions.

• Coursera
• 13 hours 5 minutes
• On-Demand
• Paid Course

Valerio Velardo - The Sound of AI

Build a Spotify-Like Music Recommender System in Python

Create a Spotify-like music recommender system using Python, collaborative filtering, and Alternating Least Squares. Learn about music recommendation types, Spotify's architecture, and implement artist suggestions with the 'implicit' library.

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

Building Recommendation Engines with PySpark

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Building Recommendation Engines in Python

Learn to build recommendation engines in Python using machine learning techniques.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Nvidia

Applied Deep Learning in Speech Recognition and Collaborative Filtering - Session 5

Explore cutting-edge AI applications in speech recognition and collaborative filtering systems, featuring NVIDIA Research insights from NeurIPS 2018.

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

Yannic Kilcher

NeurIPS 2023 Research Highlights - Circuits, Collaborative Filtering, Clustering, and Privacy

Overview of NeurIPS 2023 poster presentations covering graph neural networks, collaborative filtering, semi-supervised learning, and privacy assessment in image reconstruction, with insights on cutting-edge machine learning research.

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

Understanding AI Recommendation Engines - From Collaborative Filtering to Personalization

Discover how recommendation engines use machine learning to power personalized experiences, from collaborative filtering to content-based approaches that shape our online interactions.

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

Association for Computing Machinery (ACM)

Unmasking Privacy: A Reproduction and Evaluation Study of Perturbation Techniques for Collaborative Filtering

Explore privacy-preserving techniques in collaborative filtering systems through a comprehensive reproduction study evaluating obfuscation methods and their effectiveness in data protection.

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

DigitalSreeni

Recommendation Systems - A Deep Dive into Collaborative Filtering

Discover how collaborative filtering powers Netflix and shopping recommendations through user-based approaches and matrix factorization techniques.

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

USENIX

Towards High-throughput and Low-latency Billion-scale Vector Search via CPU/GPU Collaborative Filtering and Re-ranking

Explore FusionANNS, a novel system for billion-scale vector search that achieves high throughput, low latency, and cost efficiency through CPU/GPU collaborative filtering and innovative I/O optimization techniques.

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

Microcredential

Recommendation Systems Theory and Coding

Master collaborative filtering, content-based methods, and hybrid techniques to build recommendation systems from scratch with hands-on projects and real-world applications.

• CodeSignal
• 15 hours
• On-Demand
• Free Certificate
• 4 courses