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Explore the Recommender Systems Course Catalog
University of Minnesota
Skills you'll gain: Data Analysis, Basic Descriptive Statistics, Probability & Statistics, Machine Learning, Applied Machine Learning, Natural Language Processing, General Statistics, Statistical Analysis, Statistical Programming, Algorithms, Collaboration, Microsoft Excel
DeepLearning.AI
Skills you'll gain: Algorithms, Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Human Learning, Deep Learning, Machine Learning Software, Artificial Neural Networks, Mathematics, Reinforcement Learning
Sungkyunkwan University
Multiple educators
Skills you'll gain: Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Algorithms, Deep Learning, Machine Learning Software, Artificial Neural Networks, Human Learning, Python Programming, Regression, Statistical Machine Learning, Mathematics, Tensorflow, Critical Thinking, Network Model, Reinforcement Learning
EIT Digital
EIT Digital
University of Minnesota
Skills you'll gain: Basic Descriptive Statistics, Data Analysis, Probability & Statistics, Machine Learning, Applied Machine Learning, Natural Language Processing, Statistical Analysis, Statistical Programming, General Statistics, Microsoft Excel
Google Cloud
Skills you'll gain: Applied Machine Learning, Human Learning, Machine Learning, Machine Learning Algorithms, Google Cloud Platform, Machine Learning Software, Artificial Neural Networks, Cloud Computing, Tensorflow
University of Minnesota
Skills you'll gain: Natural Language Processing
- Status: Free
Coursera Project Network
Skills you'll gain: Data Analysis
University of Minnesota
Searches related to recommender systems
In summary, here are 10 of our most popular recommender systems courses
- Recommender Systems:Â University of Minnesota
- Unsupervised Learning, Recommenders, Reinforcement Learning:Â DeepLearning.AI
- Recommender Systems:Â Sungkyunkwan University
- Machine Learning:Â DeepLearning.AI
- Basic Recommender Systems:Â EIT Digital
- Advanced Recommender Systems:Â EIT Digital
- Introduction to Recommender Systems: Non-Personalized and Content-Based:Â University of Minnesota
- Recommendation Systems on Google Cloud:Â Google Cloud
- Matrix Factorization and Advanced Techniques:Â University of Minnesota
- Vector Database Projects: AI Recommendation Systems:Â IBM