Collaborative Filtering Courses and Certifications

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)

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

Recommender Systems Complete Course Beginner to Advanced

Master recommender systems from basics to advanced techniques. Learn filtering methods, deep learning models, and build real-world applications using TensorFlow. Gain practical skills for product recommendations and more.

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

Machine Learning and AI Foundations: Recommendations

325 ratings at LinkedIn Learning

This project-based course shows programmers of all skill levels how to use machine learning to build programs that can make recommendations—like recommending new products.

• LinkedIn Learning
• 58 minutes
• On-Demand
• Free Trial Available

Building a Recommendation System with Python Machine Learning & AI

250 ratings at LinkedIn Learning

Discover how to use Python to build programs that can make recommendations. This hands-on course explores different types of recommendation systems, and shows how to build each one.

• LinkedIn Learning
• 1 hour 39 minutes
• On-Demand
• Free Trial Available

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

Spark MLlIB

Explore machine learning with Spark MLlib, covering data types, algorithms, decision trees, random forests, and clustering. Gain hands-on experience with various ML techniques and their applications.

• Cognitive Class
• 3 hours
• On-Demand
• Free Online Course

Build a Rating Recommendation Engine with Collaborative Filtering

15 ratings at Pluralsight

Recommendation systems pervade a great number of aspects of our daily lives. This course will teach you how to build your very own recommendation system using a technique called collaborative filtering.

• Pluralsight
• 1 hour 21 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

IIT Kharagpur;  NPTEL

Recommender Systems

Explore recommender systems' foundations, algorithms, and applications. Learn data preprocessing, collaborative filtering, content-based techniques, and evaluation methods for effective recommendation systems.

• Swayam
• 8 weeks
• On-Demand
• Free Online Course

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

Recommendation Systems

Learn to build diverse recommendation systems using Python, from hybrid techniques to collaborative filtering, exploring key concepts like cosine similarity for practical applications.

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

Jeremy Howard

Practical Deep Learning for Coders 2019

Comprehensive deep learning course covering image classification, NLP, tabular data, and advanced topics. Includes hands-on coding and ethical considerations.

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