Java Programming: Build a Recommendation System

  • 4.7
Approx. 5 hours to complete

Course Summary

This course teaches Java programming concepts and techniques through the lens of developing a recommender system. Students will learn how to build and evaluate recommendation algorithms using real-world data, including a case study on the Netflix Prize dataset.

Key Learning Points

  • Learn Java programming concepts and techniques
  • Develop a recommender system using real-world data
  • Build and evaluate recommendation algorithms

Related Topics for further study


Learning Outcomes

  • Create and evaluate recommendation algorithms
  • Understand Java programming concepts and techniques
  • Apply data analysis techniques to real-world datasets

Prerequisites or good to have knowledge before taking this course

  • Basic programming knowledge
  • Familiarity with statistics and linear algebra

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced

Similar Courses

  • Python Data Products for Predictive Analytics
  • Applied Data Science with Python
  • Data Mining and Machine Learning

Related Education Paths


Notable People in This Field

  • Andrew Ng
  • Hilary Mason
  • Yann LeCun

Related Books

Description

Ever wonder how Netflix decides what movies to recommend for you? Or how Amazon recommends books? We can get a feel for how it works by building a simplified recommender of our own!

Outline

  • Introducing the Recommender
  • Introduction and Motivation
  • Reading and Storing Data
  • Module Description / Resources
  • Programming Exercise: Step One
  • Step One
  • Simple Recommendations
  • Average Ratings
  • Module Description
  • Programming Exercise: Step Two
  • Step Two
  • Interfaces, Filters, Database
  • Filtering Recomendations
  • Module Description
  • Programming Exercise: Step Three
  • Step Three
  • Weighted Averages
  • Calculating Weighted Averages
  • Module Description
  • Programming Exercise: Step Four
  • Step Four
  • Farewell
  • Farewell from the Instructor Team

Summary of User Reviews

The Java Programming Recommender course on Coursera has received positive feedback from users. Many users found the course to be informative and well-structured.

Key Aspect Users Liked About This Course

The course provides a strong foundation for learning Java programming.

Pros from User Reviews

  • The course is well-structured and easy to follow.
  • The instructors provide clear explanations and examples.
  • The course provides a good foundation for learning Java programming.
  • The assignments and quizzes are helpful for reinforcing the concepts learned.
  • The course is suitable for both beginners and those with some programming experience.

Cons from User Reviews

  • Some users found the course to be too basic and not challenging enough.
  • The course focuses more on theory than practical applications.
  • Some users found the pace of the course to be too slow.
  • The course does not cover advanced topics in Java programming.
  • Some users found the course to be too focused on recommending libraries and frameworks.
English
Available now
Approx. 5 hours to complete
Robert Duvall, Owen Astrachan, Andrew D. Hilton, Susan H. Rodger
Duke University
Coursera

Instructor

Robert Duvall

  • 4.7 Raiting
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