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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

Machine Learning finds widespread application in providing recommendations and making better predictions in software by deploying opinions from users and constructing a model automatically while eliminating the need to consider all the details of that model. Advanced Recommender Systems Certification by Coursera will expose learners to advanced machine learning techniques that can be used to create sophisticated recommender systems.

Offered by EIT Digital and Politecnico di Milano, both of which are top-ranked in their respective domain, this course boosts one's creativity and innovation skills and implores them to think beyond the thinkable. Advanced Recommender Systems Certification Syllabus will deal with the management of hybrid information and a combination of various filtering techniques. This course will ensure that learners derive the best from each approach taught to them.

At the course conclusion, candidates will have been well acquainted with factorisation machines and how to represent input data accordingly. They will learn all the essential methods that can be used to solve the cross-domain recommendation problem. Finally, identifying new challenges and trends in giving recommendations for numerous innovative application contexts will also be highlighted in Advanced Recommender Systems Certification Course.

The Highlights

MOOC offering by Politecnico di Milano and EIT Digital
Learn at your own pace
Free course material
14 hours of online learning
Online certification
Coursera is a course provider

Programme Offerings

videos
quizzes
Practice Exercises
Readings
Instructor-based learning
online learning
Self-paced mode.

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 2435	yes	Coursera

The fees for the course Advanced Recommender Systems is -

Head	Amount in INR
Certificate fees	Rs. 2,435

Eligibility Criteria

Education

Students willing to pursue Advanced Recommender Systems Certification Course must have a fair knowledge of recommender systems. Moreover, an academic familiarity with basic programming languages like Python and linear algebra concepts is also required.

Certification qualifying details

Advanced Recommender Systems Certification shall be meted out to paid learners of this course who ensure that they have been verified on the Coursera platform after registration and pass all their graded assignments successfully.

What you will learn

Mathematical skill

Advanced Recommender Systems Certification Programme is an intermediate-level course for eligible learners who want to brush up on their machine learning knowledge and learn more about recommender systems. It will enhance the knowledge of learners by teaching them the following-

Candidates will be able to adopt machine learning in collaborative filtering techniques.
They will learn how to use factorisation machines while representing the input data and mixing various kinds of filtering techniques.
They will be able to mark the difference between model-based and memory-based and recommender systems along with their pros and cons.
They shall also learn how basic approaches combine to form a hybrid recommender system that improves the quality of recommendations.
Learners shall learn to define a new error metric based on ranking comparisons that shall play an instrumental role in designing learning-to-rank algorithms.
Machine learning and neural network techniques will be taught in detail to design more sophisticated recommender systems.
Learners will know how to balance input information using coefficients and weights for creating more sophisticated predictions.
They will be able to integrate many kinds of side information (about content or context) in a recommender system.
Candidates shall study different simple and complex hybridisation approaches.
They shall get a practical insight on how to choose the accurate number of latent features to reduce the risk of overfitting historical data.

Admission Details

Advanced Recommender Systems Certification Online Course is accepting admissions online through the course page. Learners can enrol by following the given steps-

Step 1: Select the option for enrolling on the course link- https://www.coursera.org/learn/advanced-recommender-systems

Step 2: Choose the mode of learning-free course or paid course.

Step 3: Pay the due certification fee through the payment portal if you want the certificate.

Step 4: If you select the free course, you will get direct access to the course.