Basic Recommender Systems
Completed by Arman Behnam
June 29, 2021
11 hours (approximately)
Arman Behnam's account is verified. Coursera certifies their successful completion of Basic Recommender Systems
What you will learn
You'll be able to build a basic recommender system.
You'll be able to choose the family of recommender systems that best suits the kind of input data, goals and needs.
You'll learn how to identify the correct evaluation activities to measure the quality of a recommender system, based on goals and needs.
You'll be able to point out benefits and limits of different techniques for recommender systems in different scenarios.
Skills you will gain
- Category: Algorithms
- Category: Fine-tuning
- Category: Innovation
- Category: Applied Machine Learning
- Category: Responsible AI
- Category: Systems Design
- Category: Performance Tuning
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: Machine Learning Methods
- Category: Machine Learning Algorithms
- Category: Data Ethics
