Advanced Recommender Systems
$49
ENROLL NOWCourse Overview
What You'll Learn
- In this course, you will see how to use advanced machine-learning techniques to build more sophisticated recommender systems.
- Machine Learning is able to provide recommendations and make better predictions, by taking advantage of historical opinions from users and building up the model automatically, without the need for you to think about all the details of the model.
- The course leverages two important EIT Digital Overarching Learning Outcomes (OLOs), related to your creativity and innovation skills.
In this course, you will see how to use advanced machine-learning techniques to build more sophisticated recommender systems. Machine Learning is able to provide recommendations and make better predictions, by taking advantage of historical opinions from users and building up the model automatically, without the need for you to think about all the details of the model. At the end of the Advanced Recommender Systems, you will know how to manage hybrid information and how to combine different filtering techniques, taking the best from each approach. More, you will know how to use factorisation machines and represent the input data accordingly and be able to design more sophisticated recommender systems, which can solve the cross-domain recommendation problem. The course leverages two important EIT Digital Overarching Learning Outcomes (OLOs), related to your creativity and innovation skills. In trying to design a new recommender system you need to think beyond boundaries and try to figure out how you can improve the quality of the outcomes. You should also be able to use knowledge, ideas and technology to create new or significantly improved recommendation tools to support choice-making processes and solve real-life problems in complex and innovative scenarios.
Course FAQs
Is this an accredited online course?
Accreditation for 'Advanced Recommender Systems' is determined by the provider, EIT Digital & Politecnico di Milano. 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 'Advanced Recommender Systems' on the EIT Digital & Politecnico di Milano online class platform, where you can complete your registration.
