Matrix Factorization and Advanced Techniques
$79
ENROLL NOWCourse Overview
What You'll Learn
- In this course you will learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems.
- Starting with basic matrix factorization, you will understand both the intuition and the practical details of building recommender systems based on reducing the dimensionality of the user-product preference space.
- Then you will learn about techniques that combine the strengths of different algorithms into powerful hybrid recommenders.
In this course you will learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems. Starting with basic matrix factorization, you will understand both the intuition and the practical details of building recommender systems based on reducing the dimensionality of the user-product preference space. Then you will learn about techniques that combine the strengths of different algorithms into powerful hybrid recommenders.
Course FAQs
Is this an accredited online course?
Accreditation for 'Matrix Factorization and Advanced Techniques' is determined by the provider, University of Minnesota. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Matrix Factorization and Advanced Techniques' on the University of Minnesota online class platform, where you can complete your registration.
