Music Recommender System Using Pyspark faq

learnersLearners: 1
instructor Instructor: Ahmad Varasteh instructor-icon
duration Duration: instructor-icon

This course is perfect for anyone interested in learning how to create a Music Recommender System using Pyspark. You'll learn how to use the ALS Algorithm to suggest new tracks to different users based on the songs they've been listening to. As a prerequisite, it's suggested that you have a basic understanding of the ALS Algorithm. This course is best suited for learners based in the North America region, but we're working on providing the same experience in other regions. So don't miss out on this great opportunity to learn how to create a Music Recommender System using Pyspark!

Course Feature Course Overview Course Provider
Go to class

Course Feature

costCost:

Paid

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

8th May, 2023

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course provides an introduction to creating a Music Recommender System using Pyspark. Learners will use the ALS Algorithm to create a system that can suggest new tracks to different users based on the songs they have been listening to. As a prerequisite, learners should have a basic understanding of the ALS Algorithm, as the course will not cover any theoretical concepts. This project works best for learners based in the North America region, though efforts are being made to provide the same experience in other regions.

Course Provider

Provider Coursera's Stats at OeClass