Recommender Systems Courses and Certifications

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

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

Data Science Dojo

Design of Recommendation Systems - Recommender Systems Using Deep Learning Explained

1 review

Comprehensive overview of recommender systems, covering types, models, performance metrics, and design considerations. Equips learners with knowledge to create and evaluate effective recommendation systems.

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

James Briggs

Evaluation Measures for Search and Recommender Systems

Learn popular offline metrics for evaluating search and recommender systems, including Recall@K, MRR, MAP@K, and NDCG@K, with Python demonstrations and practical insights for improving information retrieval systems.

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

Nvidia

Boosted Trees and Deep Neural Networks for Better Recommender Systems

Explore GPU-accelerated boosted trees and deep neural networks for building winning recommender systems, featuring insights from Kaggle Grandmasters on the ACM RecSys Challenge.

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

Association for Computing Machinery (ACM)

Deep Learning for Search and Recommender Systems in Practice - Part 2

Explore advanced techniques in deep learning for search and recommender systems, focusing on practical implementation and real-world applications at LinkedIn.

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

Association for Computing Machinery (ACM)

Deep Learning for Search and Recommender Systems in Practice - Part 1

Explore practical applications of deep learning in search and recommender systems, focusing on query understanding, candidate retrieval, and ranking techniques.

• YouTube
• 21 minutes
• 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

MLOps.community

Building Recommender Systems with Large Language Models

Explore recent approaches to building recommender systems using LLMs, focusing on language understanding and generation templates for various recommendation tasks.

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

Nvidia

Mastering Multilingual Recommender Systems - Grandmaster Series

Explore NVIDIA Merlin team's winning approach in Amazon KDD Cup 2023, featuring innovative techniques for multilingual e-commerce product recommendations and next product title generation.

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

Aladdin Persson

Matrix Factorization Techniques for Recommender Systems

Explore matrix factorization techniques for building effective recommender systems, covering key concepts and practical implementation strategies.

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

Association for Computing Machinery (ACM)

Deep Learning for Search and Recommender Systems in Practice

Explore deep learning techniques for search and recommendation systems, covering document retrieval, ranking, personalization, and evaluation metrics. Learn about pointwise, pairwise, and listwise ranking approaches.

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

Data Science Dojo

Recommender Systems: Metrics, Trends, and Challenges

Explore recommender systems' impact on digital strategies, from basic models to advanced approaches. Learn implementation strategies and address deployment challenges.

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

Toronto Machine Learning Series (TMLS)

Latent User Intent Modeling in Recommender Systems

Explore latent variable models for capturing user intents in recommender systems, enhancing understanding beyond item-level interactions.

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

Anyscale

Large Scale Pathways Recommender Systems (PaRS) at Verizon

Explore Verizon's innovative multi-task learning recommender system, PaRS, leveraging Ray ecosystem to enhance customer experience through deep learning and efficient large-scale model training.

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