Collaborative Filtering Courses and Certifications

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
• Self-Paced
• Free Video

Career Certificate

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
• Self-Paced
• Free Certificate
• 4 courses

Recommendation Systems Foundations using JS

Master foundational algorithms for building recommendation systems using JavaScript, from baseline predictors to Pearson correlation and weighted averages for accurate predictions.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Career Certificate

Recommendation Systems Theory and Coding in JS

Master collaborative filtering, content-based methods, and hybrid techniques to build recommendation systems from scratch using JavaScript through hands-on projects.

• CodeSignal
• 15 hours
• Self-Paced
• Free Certificate
• 4 courses

Recommendation Systems Foundations with Go

Master foundational recommendation system algorithms in Go, from baseline predictions to Pearson Correlation and collaborative filtering, building robust and efficient recommendation tools.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Content-Based and Model-Based Recommendations in Go

Explore content-based recommendation systems in Go, covering feature engineering, user profiling, cosine similarity, and factorization machines with hands-on coding examples for personalized recommendations.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Recommendation Systems Foundations in C++

Master foundational recommendation system algorithms in C++, from baseline prediction models to Pearson Correlation and weighted similarity measures, building robust and efficient recommendation tools.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Recommendation Systems Quality Evaluation

Explore recommendation system quality metrics—Coverage, Novelty, Diversity, and Serendipity—with theoretical insights and hands-on coding examples to optimize model performance.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Career Certificate

Recommendation Systems Theory and Coding in Go

Master building recommendation systems in Go, covering collaborative filtering, content-based methods, hybrid techniques, and evaluation metrics through hands-on projects and real-world applications.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate
• 3 courses

Career Certificate

Recommendation Systems Theory and Coding in C++

Master building recommendation systems from scratch in C++, covering collaborative filtering, content-based methods, hybrid techniques, and evaluation metrics through hands-on projects.

• CodeSignal
• 5 hours
• Self-Paced
• Free Certificate
• 4 courses

Career Certificate

Recommender Systems

833 ratings at Coursera

Comprehensive exploration of recommender systems, covering fundamental techniques to advanced topics. Gain practical skills through interactive exercises and implement real-world solutions using various algorithms and tools.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

fast.ai

Practical Deep Learning For Coders

7 ratings

Learn how to get a GPU server online suitable for deep learning— to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems.

• Independent
• 7 weeks, 10 hours a week
• Self-Paced
• Free Online Course

Building Recommender Systems with Machine Learning and AI

3749 ratings at Udemy

How to create machine learning recommendation systems with deep learning, collaborative filtering, and Python.

• Udemy
• 11 hours 47 minutes
• Self-Paced
• Paid Course

EDUCBA Career Certificate

Mastering Recommendation Systems with Python

72 ratings at Coursera

Master recommendation systems using Python, from collaborative filtering to hybrid models, with hands-on projects building movie and book recommenders using Surprise and Scikit-learn.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

EIT Digital;  Politecnico di Milano

Basic Recommender Systems

43 ratings at Coursera

Explore leading recommender system approaches, from collaborative to content-based. Learn algorithms, evaluation techniques, and design strategies for personalized recommendations across various domains.

• Coursera
• 11 hours 50 minutes
• Self-Paced
• Paid Course