Recommender Systems Courses
Recommender systems courses can help you learn collaborative filtering, content-based filtering, and hybrid approaches to personalization. You can build skills in data analysis, user behavior modeling, and algorithm evaluation. Many courses introduce tools like Python libraries such as Scikit-learn and TensorFlow, that support implementing machine learning algorithms, as well as frameworks for managing large datasets and user interactions.
Popular Recommender Systems Courses and Certifications
University of Minnesota
Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Test Data, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Analysis, Systems Design, Solution Design, Predictive Modeling, Microsoft Excel, Statistical Methods
28DIGITAL
Skills you'll gain: Model Evaluation, Data Ethics, AI Personalization, Systems Design, System Requirements, Responsible AI, Machine Learning Algorithms, Machine Learning Methods, Innovation, Algorithms, Data Preprocessing, Predictive Modeling, Applied Machine Learning, Performance Tuning, Fine-tuning
Sungkyunkwan University
Skills you'll gain: Scalability, Deep Learning, Machine Learning Methods, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms
University of Minnesota
Skills you'll gain: Spreadsheet Software, Analysis, Systems Design, Solution Design, Systems Analysis, Model Evaluation, Machine Learning Algorithms, Algorithms
Skills you'll gain: Model Evaluation, Deep Learning, Data Preprocessing, Data Wrangling, Data Processing, AI Personalization, Machine Learning Methods, Model Training, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Neural Networks, Embeddings
Skills you'll gain: Data Manipulation, Data Wrangling, AI Personalization, Model Evaluation, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Data Cleansing, Statistical Machine Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Model Training, Taxonomy, Text Mining, Data Analysis, Artificial Intelligence, Deep Learning
What brings you to Coursera today?
28DIGITAL
Skills you'll gain: AI Personalization, Applied Machine Learning, Dimensionality Reduction, Machine Learning Methods, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Model Optimization, Model Training, Machine Learning, Model Evaluation, Algorithms, Context Management
Packt
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, AI Personalization, Data Manipulation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Machine Learning Methods, Data Wrangling, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Data Processing, Autoencoders, Data Cleansing, Dimensionality Reduction, Machine Learning
Skills you'll gain: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Artificial Neural Networks, Applied Machine Learning, Python Programming, Fraud detection, Machine Learning Algorithms, Model Optimization, Model Evaluation
University of Minnesota
Skills you'll gain: Model Evaluation, Decision Support Systems, Business Metrics, Test Data, Performance Metric, Data Collection, Performance Measurement, Benchmarking, A/B Testing, Data-Driven Decision-Making, Predictive Analytics, Product Assortment
Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Autoencoders, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Embeddings, Data Preprocessing
University of Minnesota
Skills you'll gain: Taxonomy, Spreadsheet Software, Microsoft Excel, Statistical Methods, Descriptive Statistics, Computer Programming
In summary, here are 10 of our most popular recommender systems courses
- Recommender Systems: University of Minnesota
- Basic Recommender Systems: 28DIGITAL
- Recommender Systems: Sungkyunkwan University
- Recommender Systems Capstone: University of Minnesota
- Recommender Systems: An Applied Approach using Deep Learning: Packt
- Recommender Systems with Machine Learning: Packt
- Advanced Recommender Systems: 28DIGITAL
- Recommender Systems: Packt
- Building Recommender Systems with Machine Learning and AI: Packt
- Recommender Systems: Evaluation and Metrics: University of Minnesota
