Advanced Recommender Systems
Completed by Riccardo Pazzi
January 4, 2022
14 hours (approximately)
Riccardo Pazzi's account is verified. Coursera certifies their successful completion of Advanced Recommender Systems
What you will learn
You will be able to use some machine learning techniques in order to build more sophisticated recommender systems.
You will learn how to combine different basic approaches into a hybrid recommender system, in order to improve the quality of recommendations.
You will know how to integrate different kinds of side information (about content or context) in a recommender system.
You'll learn how to use factorization machines and represent the input data, mixing together different kinds of filtering techniques.
Skills you will gain
- Category: Machine Learning Methods
- Category: Dimensionality Reduction
- Category: Algorithms
- Category: Model Training
- Category: Machine Learning
- Category: Machine Learning Algorithms
- Category: Feature Engineering
- Category: Model Optimization
- Category: Model Evaluation
- Category: Applied Machine Learning
- Category: Context Management
- Category: AI Personalization
