Advanced Recommender Systems
Completed by Arman Behnam
June 30, 2021
14 hours (approximately)
Arman Behnam'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: Applied Machine Learning
- Category: Feature Engineering
- Category: Model Optimization
- Category: Algorithms
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Machine Learning Methods
- Category: Context Management
- Category: Model Training
- Category: Machine Learning Algorithms
- Category: Dimensionality Reduction
- Category: Machine Learning
- Category: Model Evaluation
