Coursera

Recommender Systems (Coursera)

Offered by Sungkyunkwan University - SKKU,

In this course you will: a) understand the basic concept of recommender systems; b) understand the Collaborative Filtering; c) understand the Recommender System with Deep Learning; d) understand the Further Issues of Recommender Systems. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, conditional probability, and basic machine learning algorithms.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

What You Will Learn

Understand the basic concept of recommender systems.
Understand the Collaborative Filtering.
Understand the Recommender System with Deep Learning.
Understand the Further Issues of Recommender Systems.

Syllabus

WEEK 1 : Introduction to Recommender Systems
WEEK 2: Collaborative Filtering
WEEK 3: Recommender System with Deep Learning
WEEK 4: Further Understanding of Recommender Systems

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

MathWorks

Deep Learning for Object Detection (Coursera)

Data Science

Detecting and locating objects is one of the most common uses of deep learning for computer vision. Applications include helping autonomous systems navigate complex environments, locating medical conditions like tumors, and identifying ready-to-harvest crops in agriculture.

Sep 28th 2026

4 Weeks

MATLAB Computer Vision Object Detection

Coursera

University of Colorado Boulder

Deep Learning Applications for Computer Vision (Coursera)

Data Science

This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics.

Oct 12th 2026

5-12 Weeks

Machine Learning Neural Networks Computer Vision

Coursera

DeepLearning.AI

Neural Networks and Deep Learning (Coursera)

Data Science

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago. In this course, you will learn the foundations of deep learning.

Sep 28th 2026

4 Weeks

Programming Machine Learning Neural Networks

Coursera

IBM

Deep Learning and Reinforcement Learning (Coursera)

Data Science

This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis. First you will learn about the theory behind Neural Networks, which are the basis of Deep Learning, as well as several modern architectures of Deep Learning.

Sep 28th 2026

5-12 Weeks

Calculus Python Statistics

Coursera

IBM

Specialized Models: Time Series and Survival Analysis (Coursera)

Data Science

This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data. You will learn how to find analyze data with a time component and censored data that needs outcome inference. You will learn a few techniques for Time Series Analysis and Survival Analysis.

Sep 28th 2026

4 Weeks

Calculus Python Statistics

Coursera

DeepLearning.AI

Sequence Models (Coursera)

Data Science

This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others.

Sep 28th 2026

3 Weeks

Machine Learning Deep Learning Artificial Neural Networks

Coursera

University of Illinois at Urbana-Champaign

Text Retrieval and Search Engines (Coursera)

Statistics & Data Analysis Data Science

Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. Text data are unique in that they are usually generated directly by humans rather than a computer system or sensors, and are thus especially valuable for discovering knowledge about people’s opinions and preferences, in addition to many other kinds of knowledge that we encode in text.

Sep 28th 2026

5-12 Weeks

Machine Learning Search Data Mining

Coursera

University of Minnesota

Introduction to Recommender Systems: Non-Personalized and Content-Based (Coursera)

Data Science

This course, which is designed to serve as the first course in the Recommender Systems specialization, introduces the concept of recommender systems, reviews several examples in detail, and leads you through non-personalized recommendation using summary statistics and product associations, basic stereotype-based or demographic recommendations, and content-based filtering recommendations.

Sep 28th 2026

4 Weeks

Statistics Machine Learning Data Mining

Coursera

DeepLearning.AI

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization (Coursera)

Data Science

This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also learn TensorFlow.

Sep 28th 2026

3 Weeks

Algorithms Machine Learning Neural Networks

Coursera

The Hong Kong University of Science and Technology - HKUST

Search Engines for Web and Enterprise Data (Coursera)

CS: Software Engineering

This course introduces the technologies behind web and search engines, including document indexing, searching and ranking. You will also learn different performance metrics for evaluating search quality, methods for understanding user intent and document semantics, and advanced applications including recommendation systems and summarization. Real-life examples and case studies are provided to reinforce the understanding of search algorithms.

Oct 12th 2026

13-24 Weeks

Web Recommender Systems Web Search

Coursera

Universidad Austral

Introducción al Aprendizaje Profundo (Coursera)

Statistics & Data Analysis Data Science

Este curso te brindará los conocimientos introductorios sobre Aprendizaje Profundo, vas a entender los fundamentos teóricos y su implementación . Se comenzará entendiendo cómo evolucionó el campo hasta llegar a las redes profundas y cuáles son sus principales beneficios frente a otras técnicas de aprendizaje supervisado, así como también sus limitaciones y situaciones en donde no posee un rendimiento superior

Oct 12th 2026

4 Weeks

Classification Neural Networks Logistic Regression

Coursera

DeepLearning.AI

AI for Medical Diagnosis (Coursera)

Data Science

AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. As an AI practitioner, you have the opportunity to join in this transformation of modern medicine. If you're already familiar with some of the math and coding behind AI algorithms, and are eager to develop your skills further to tackle challenges in the healthcare industry, then this specialization is for you. No prior medical expertise is required!

Sep 28th 2026

3 Weeks

Artificial Intelligence Machine Learning AI