Basic Recommender Systems
Completed by Tomas Kender
December 26, 2024
11 hours (approximately)
Tomas Kender'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: AI Personalization
- Category: Innovation
- Category: Machine Learning Methods
- Category: Performance Tuning
- Category: Machine Learning Algorithms
- Category: Unsupervised Learning
- Category: Applied Machine Learning
- Category: Data Preprocessing
- Category: Algorithms
- Category: Model Evaluation
- Category: Systems Design
- Category: Responsible AI
