Basic Recommender Systems
Completed by LUCAS PERUZZO
August 1, 2022
11 hours (approximately)
LUCAS PERUZZO'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: Machine Learning Algorithms
- Category: Systems Design
- Category: Applied Machine Learning
- Category: Performance Tuning
- Category: Algorithms
- Category: Data Quality
- Category: Machine Learning Methods
- Category: Model Evaluation
- Category: Predictive Modeling
- Category: Responsible AI
- Category: Data Ethics
- Category: Unsupervised Learning
