Recommender Systems
This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization. This specialization will teach you to build advanced recommender systems using machine learning and AI. You will begin by learning Python to evaluate datasets and create content-based and collaborative filtering systems.
Monthly Subscription Starting at AED 99 + VAT
- Level Professional
- Course by Packt
-
Offered by
About
A Recommender System is a process that seeks to predict user preferences. This Specialization covers all the fundamental techniques in recommender systems, from non-personalized and project-association recommenders through content-based and collaborative filtering techniques, as well as advanced topics like matrix factorization, hybrid machine learning methods for recommender systems, and dimension reduction techniques for the user-product preference space. This Specialization is designed to serve both the data mining expert who would want to implement techniques like collaborative filtering in their job, as well as the data literate marketing professional, who would want to gain more familiarity with these topics. The courses offer interactive, spreadsheet-based exercises to master different algorithms, along with an honors track where you can go into greater depth using the LensKit open source toolkit. By the end of this Specialization, you’ll be able to implement as well as evaluate recommender systems. The Capstone Project brings together the course material with a realistic recommender design and analysis project.Auto Summary
Unlock the power of predicting user preferences with the "Recommender Systems" course. Dive into non-personalized, content-based, and collaborative filtering techniques, and explore advanced topics like matrix factorization and hybrid machine learning methods. Ideal for data mining experts and marketing professionals, this professional-level course from Coursera includes interactive exercises and an honors track with LensKit. Conclude with a Capstone Project to apply your knowledge. Available via a Starter subscription.
Packt - Course Instructors