Machine Learning

Ce cours fait partie de la Spécialisation Recommender Systems

Recommender Systems Capstone

proposé par

Spécialisation Recommender Systems

University of Minnesota

This capstone project course for the Recommender Systems Specialization brings together everything you've learned about recommender systems algorithms and evaluation into a comprehensive recommender analysis and design project.  You will be given a case study to complete where you have to select and justify the design of a recommender system through analysis of recommender goals and algorithm performance.  

Learners in the honors track will focus on experimental evaluation of the algorithms against medium sized datasets.  The standard track will include a mix of provided results and spreadsheet exploration.

Both groups will produce a capstone report documenting the analysis, the selected solution, and the justification for that solution.... 

Cours 5 sur 5 dans la

Spécialisation Recommender Systems

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.

Approx. 7 hours to complete

Recommandé : 1-3 weeks of study, 3-5 hours per week...

English

Sous-titres : English...

Cours 5 sur 5 dans la

Spécialisation Recommender Systems

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.

Approx. 7 hours to complete

Recommandé : 1-3 weeks of study, 3-5 hours per week...

English

Sous-titres : English...

Programme du cours : ce que vous apprendrez dans ce cours

Week

4 heures pour terminer

Capstone Project

...

2 vidéos (Total 6 min), 2 lectures, 3 quiz

2 vidéos

Capstone Course: Introduction4 min

Capstone Wrap-Up1 min

2 lectures

Capstone Assignment (all versions combined)10 min

Thank you!10 min

1 exercice pour s'entraîner

Certification for honors track2 min

Enseignants

Michael D. Ekstrand

Assistant Professor

Dept. of Computer Science, Boise State University

Joseph A Konstan

Distinguished McKnight Professor and Distinguished University Teaching Professor

Computer Science and Engineering

À propos de University of Minnesota

The University of Minnesota is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation’s most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations....

À propos de la Spécialisation Recommender Systems

This Specialization covers all the fundamental techniques in recommender systems, from non-personalized and project-association recommenders through content-based and collaborative techniques. Designed to serve both the data mining expert and the data literate marketing professional, the courses offer interactive, spreadsheet-based exercises to master different algorithms along with an honors track where learners can go into greater depth using the LensKit open source toolkit. A Capstone Project brings together the course material with a realistic recommender design and analysis project....

Foire Aux Questions

When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?

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