Collaborative Filtering Courses and Certifications

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

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

fast.ai

Practical Deep Learning For Coders

7 reviews

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
• On-Demand
• Free Online Course

Nearest Neighbor Collaborative Filtering

304 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
• Free Online Course (Audit)

Microcredential

Recommender Systems

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
• 22 weeks, 3 hours a week
• On-Demand
• Paid Course
• 5 courses

Building Recommender Systems with Machine Learning and AI

3113 ratings at Udemy

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

• Udemy
• 11 hours 44 minutes
• On-Demand
• Paid Course

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

Recommender Systems

Explore collaborative filtering, deep learning, and advanced concepts in recommender systems. Gain practical skills for building personalized recommendation algorithms.

• Coursera
• 16 hours 37 minutes
• On-Demand
• Free Online Course (Audit)

The Ultimate Beginners Guide to Python Recommender Systems

168 ratings at Udemy

Use collaborative filtering to recommend movies to users! Implementations step by step from scratch!

• Udemy
• 3 hours 54 minutes
• On-Demand
• Paid Course

Recommendation Engine Bootcamp

156 ratings at Udemy

Master recommendation systems Industry Projects using using modern recommendation techniques and methodologies

• Udemy
• 4 hours 22 minutes
• On-Demand
• Paid Course

How to Build A Recommendation Engine In Python

46 ratings at Udemy

An easy to understand, hands-on tutorial to building a simple Recommendation Engine with same basic concepts as Netflix

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

EIT Digital;  Politecnico di Milano

Basic Recommender Systems

41 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
• On-Demand
• Free Online Course (Audit)

EIT Digital;  Politecnico di Milano

Advanced Recommender Systems

23 ratings at Coursera

Explore advanced machine learning techniques for sophisticated recommender systems, including hybrid filtering, factorization machines, and cross-domain recommendations to enhance prediction accuracy and user experience.

• Coursera
• 14 hours 49 minutes
• On-Demand
• Free Online Course (Audit)