Building Recommender Systems with Machine Learning and AI
Completed by Yue Wang
November 11, 2025
14 hours (approximately)
Yue Wang's account is verified. Coursera certifies their successful completion of Building Recommender Systems with Machine Learning and AI
What you will learn
Evaluate and optimize recommender system performance using metrics like RMSE and MAE.
Master content-based and collaborative filtering techniques to build personalized recommendation engines.
Implement and tune matrix factorization and deep learning methods for scalable recommendation systems.
Skills you will gain
- Category: AI Personalization
- Category: Python Programming
- Category: Artificial Neural Networks
- Category: Model Evaluation
- Category: Autoencoders
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: AWS SageMaker
- Category: Scalability
- Category: Apache Spark
- Category: Tensorflow
- Category: Applied Machine Learning
- Category: Machine Learning Algorithms
