Recommender Systems

Course Feature
  • Cost
    Free
  • Provider
    Coursera
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    29th May, 2023
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    Jae-kwang KIM
Next Course
2.0
0 Ratings
This course is perfect for anyone interested in learning about Recommender Systems. It covers the basic concept, Collaborative Filtering, Recommender System with Deep Learning, and Further Issues of Recommender Systems. It requires basic knowledge of Python programming and mathematics including matrix multiplications, conditional probability, and basic machine learning algorithms. With this course, you will gain a comprehensive understanding of the fundamentals of Recommender Systems and be able to apply them to real-world problems. So, if you are looking to learn more about Recommender Systems, this course is for you.
Show All
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 Recommender Systems. Students will gain an understanding of the basic concepts of Recommender Systems, Collaborative Filtering, Recommender Systems with Deep Learning, and Further Issues of Recommender Systems. To be successful in this course, students should have a basic knowledge of mathematics, including matrix multiplications, conditional probability, and basic machine learning algorithms, as well as be comfortable programming in Python.

Show All
Recommended Courses
build-a-recommender-system-in-python-14347
Build a Recommender System in Python
2.5
Coursera 0 learners
Learn More
This 2-hour long project-based course will teach you how to build a Recommender System in Python. Learn how to code by hand 4 different types of recommender systems that mimic the techniques of Amazon, Netflix, and YouTube. Discover the 'magic' algorithms that these well-known services use to uncannily predict what videos or movies they would enjoy or what products they might be interested in buying. This course is best suited for learners based in the North America region, with plans to expand to other regions. Sign up now and start building your own Recommender System in Python!
building-recommender-systems-with-machine-learning-and-ai-14348
Building Recommender Systems with Machine Learning and AI
4.5
Udemy 0 learners
Learn More
This course, Building Recommender Systems with Machine Learning and AI, taught by Amazon's pioneer in the field, Frank Kane, will teach you how to create machine learning recommendation systems with deep learning, collaborative filtering, and Python. You'll learn to understand and apply user-based and item-based collaborative filtering, create recommendations using deep learning, build recommendation engines with neural networks, make session-based recommendations with recurrent neural networks, and more. You'll also learn to apply real-world learnings from Netflix and YouTube to your own recommendation projects, combine many recommendation algorithms together in hybrid and ensemble approaches, and use Apache Spark to compute recommendations at large scale on a cluster. This course is perfect for those looking to become valuable to the largest, most prestigious tech employers.
how-to-build-a-recommendation-engine-in-python-14349
How to Build A Recommendation Engine In Python
4.0
Udemy 0 learners
Learn More
Are you curious about how Netflix, Amazon and YouTube make their recommendations? Do you want to learn how to build a Recommendation Engine from scratch? This course is the perfect place to start! You will learn the basic concepts of a Recommendation Engine and be able to build a simple but functional one using simple math and basic Python programming skills. The course will walk you through the Collaborative Filtering algorithm used by Netflix to recommend movies to users based on the tastes of other similar users. So join now and make your first big steps towards the future!
music-recommender-system-using-pyspark-14350
Music Recommender System Using Pyspark
2.0
Coursera 1 learners
Learn More
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!
Favorites (0)
Favorites
0 favorite option

You have no favorites

Name delet
arrow Click Allow to get free Recommender Systems courses!