- Artificial Intelligence and Machine Learning (AI/ML)
- Data Processing
- AWS SageMaker
- Scalability
- Unsupervised Learning
- AI Personalization
- Dimensionality Reduction
- Tensorflow
- Predictive Modeling
- Apache Spark
- Fraud detection
- Applied Machine Learning
Building Recommender Systems with Machine Learning and AI
Completed by Rinto Priambodo
June 4, 2025
14 hours (approximately)
Rinto Priambodo'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
