Who is this class for: This course is appropriate for learners who have a basic understanding of statistics. It can be useful both for those exploring applied machine learning and data mining, and for those focused on technology-supported marketing and commerce.


Created by:  University of Minnesota

  • Joseph A Konstan

    Taught by:  Joseph A Konstan, Distinguished McKnight Professor and Distinguished University Teaching Professor

    Computer Science and Engineering

  • Michael D. Ekstrand

    Taught by:  Michael D. Ekstrand, Assistant Professor

    Dept. of Computer Science, Boise State University
Basic Info
Course 1 of 5 in the Recommender Systems Specialization.
LevelIntermediate
Commitment4 weeks; an average of 3-7 hours per week, plus 2-5 hours per week for honors track.
Language
English
Hardware ReqFor honors track must be able to run substantial computations using Java (e.g., 4GB or more ram).
How To PassPass all graded assignments to complete the course.
User Ratings
4.5 stars
Average User Rating 4.5See what learners said
Syllabus

FAQs
How It Works
Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers
Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates
Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Creators
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.
Pricing
AuditPurchase Course
Access to course materials

Available

Available

Access to graded materials

Not available

Available

Receive a final grade

Not available

Available

Earn a shareable Course Certificate

Not available

Available

Ratings and Reviews
Rated 4.5 out of 5 of 112 ratings

There is a need to have this course in Python or some other statistical programming language. Simple reason is that a lot of budding data scientists are not coming from CS background and dont have necessary skillset in Java. Else the course is good.

The course was easy to understand. but i find the slides not much of help.

Really good course to get started with recommendation systems!

Excelente curso, presenta una vista amplia de técnicas para la implementación de sistemas de recomendación, lo recomiendo totalmente.