- Data Preprocessing
- Applied Machine Learning
- Innovation
- Data-Driven Decision-Making
- Responsible AI
- Predictive Modeling
- Systems Design
- System Requirements
- Machine Learning Algorithms
- Algorithms
- Data Ethics
- Model Evaluation
Basic Recommender Systems
Completed by Irene Fracaro
February 25, 2022
11 hours (approximately)
Irene Fracaro'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
