Basic Recommender Systems
Completed by Flavio Rizzoglio
October 23, 2022
11 hours (approximately)
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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: Data Preprocessing
- Category: System Requirements
- Category: Applied Machine Learning
- Category: Innovation
- Category: AI Personalization
- Category: Machine Learning Algorithms
- Category: Responsible AI
- Category: Data Ethics
- Category: Performance Tuning
- Category: Unsupervised Learning
- Category: Algorithms
- Category: Machine Learning Methods