Content-Based Filtering Courses and Certifications

Introduction to Recommender Systems: Non-Personalized and Content-Based

644 ratings at Coursera

Explore non-personalized and content-based recommender systems, learning techniques for product associations, demographic-based recommendations, and personalized filtering using user profiles.

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

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

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

EIT Digital;  Politecnico di Milano

Basic Recommender Systems

42 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)

Packt

Recommender Systems with Machine Learning

Master recommender systems: from theory to practice. Build content-based and collaborative filtering models using Python and ML. Implement real-world projects for song and movie recommendations.

• Coursera
• 7 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Building Recommender Systems with Machine Learning and AI

Master Python, AI, and machine learning to build advanced recommender systems. From simple engines to hybrid ensembles, learn content-based filtering, collaborative filtering, and deep learning techniques.

• Coursera
• 13 hours 48 minutes
• On-Demand
• Free Online Course (Audit)

National Tsing Hua University

Recommender Systems in Python

Learn what recommender systems are, why they’ve become so popular, and how AI could help you implement your own.

• FutureLearn
• 6 weeks, 3 hours a week
• On-Demand
• Free Online Course (Audit)

Understanding Algorithms for Recommendation Systems

78 ratings at Pluralsight

Recommendations help monetize user behavior data that businesses capture. This course is all about identifying user-product relationships from data using different recommendation algorithms.

• Pluralsight
• 2 hours 13 minutes
• On-Demand
• Free Trial Available

Machine Learning for Marketing

11 ratings at Pluralsight

This course will explore the conceptual aspects of applying machine learning to problems in marketing, discuss case studies of machine learning used in the marketing sector, and explore practical implementations of techniques on real-world data from that…

• Pluralsight
• 1 hour 48 minutes
• On-Demand
• Free Trial Available

TensorFlow

Building Recommendation Systems with TensorFlow

Learn to create powerful recommendation systems using TensorFlow, covering content-based and collaborative filtering, ranking models, multitask learning, and efficient serving with ScaNN.

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

OpenSource Connections

Building Recommendation Systems with Vector Search - Women of Search

Explore building recommendation systems using vector search, focusing on Ref2Vec for user representation and bipartite graphs for user-product connections. Learn to enhance e-commerce experiences through advanced search techniques.

• YouTube
• 39 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

Qdrant - Vector Database & Search Engine

Vector Search for Content-Based Video Recommendation

Discover how to implement vector search for video recommendations using Qdrant, exploring practical applications, system architecture, and performance optimization techniques for high-scale platforms.

• YouTube
• 38 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